Staff Accountant at Robert Half

Dynamic Environment

Staff RN, Emergency Department, PRN, Nights

Triage Staffing New York, NY, New York County, NY; New York State

Triage Staffing is seeking a travel nurse RN ED - Emergency Department for a travel nursing job in New York, New York. Job Description & Requirements ~ Specialty: ED - Emergency Department ~ Discipline: RN ~ Start Date: 03/03/2025~ Duration: 13 weeks ~36 hours per week ~ Shift: 12 hours, nights ~ Employment Type: Travel Travel Nursing: Emergency Department New York Location: New York Start Date: 3/3/2025 Shift Details: 12H Days (12:00 AM-12:00 PM) 36 hours per week Length: 13 WEEKS Apply for specific facility details.ER RN Triage Medical Staff Jobs Job ID #63KQH7C6. Posted job title: Nursing: Emergency Department About Triage Staffing At Triage, we prefer to be real . Real about expectations—both ours and yours. Real about how a decision you make today could affect your tomorrows. Real about how compensation actually works. Real about how great—or grating—your next supervisor may be. Being real allows everyone at Triage to be ready . Ready to serve you with real honesty. So if that gig near the ocean is really no day at the beach, or that third shift comes with a second-class rate, we tell you. So you can be ready, too. We staff all five major divisions of acute care—nursing, lab, radiology, cardiopulmonary and rehab therapy, offering: - Competitive, custom pay packages - One point of contact for both travelers and facilities (per division) - A reliable recruiter who's got your back throughout your entire assignment - In-house compliance and accounting specialists - A clinical liaison team available 24/7 to offer medical and professional support and career development - A mentoring program that is run and managed by actual clinicians—yeah, you read that right - And more (because of course there’s more) Are we the biggest? No. Are we the best? That’s rather subjective, but we’re trying to be. Will we work like hell to get you as close to your idea of heaven as possible? Yes. Yes, we will. Benefits: Day One comprehensive, nationwide insurance plans for health, vision and dental and life—including a HSA option Day One 401(k) program with employer-matching contributions once eligible Facility cancelling protection—your time is money on and off-the-clock Guaranteed hours Weekly paychecks via direct deposit Earned vacation bonuses for time worked Paid holidays Employee assistance program (EAP)—your mental health is important, too Continuing education, certification and licensing reimbursement Workers comp—because accidents happen Top-rated professional liability insurance Company provided housing options Referral bonus—$750 in your pocket after they’ve completed a 13-week assignment

Work Life Balance

Staff Machine Learning Engineer

Intuit New York, NY

Come join Intuit as a Staff Machine Learning Engineer! In this role, you’ll work alongside data scientists and machine learning engineers to create AI-powered experiences. You’ll be expected to help conceive, code, and deploy models at scale using the latest industry tools. Important skills include creating data pipelines, developing and deploying models, and machine learning operations. Responsibilities Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. Build 'machine learning ready' feature pipelines. Partner with data scientists to understand, implement, refine and design machine learning and other algorithms. Run regular A/B tests, gather data, and draw conclusions on the impact of your models. Monitor and maintain production models. Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders. Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver. Minimum Requirements BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience. 6+ years of experience. Knowledgeable with Data Science tools and frameworks (i.e., Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Knowledge of machine learning techniques (i.e., classification, regression, and clustering). Understand machine learning principles (training, validation, etc.). Knowledge of data query and data processing tools (i.e., SQL). Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning). Software engineering fundamentals: version control systems (i.e., Git, Github) and workflows, and ability to write production-ready code. Experience deploying highly scalable software supporting millions or more users. Experience with integrating applications and platforms with cloud technologies (i.e., AWS and GCP). Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users. #J-18808-Ljbffr

Immediate Start

Staff Machine Learning Engineer

Tbwa Chiat/Day Inc New York, NY

At Angi, we have one simple mission: Get all your home service jobs done well. That’s how we’ve helped over 150 million homeowners care for their homes over the last 25+ years. Today, our network has grown to over 200,000 skilled local pros — and our platform has made it easier than ever to find the right one for your project, from repairs to renovations and everything in between. About the team Angi is seeking an exceptional Staff Machine Learning Engineer who can enable our transformation into a world-class online marketplace. The role is in our Data Science and Machine Learning team, tackling challenges such as homeowner-pro matching, search ranking, and using predictive models to optimize our product and consumer experience. This is a technical leadership role where you will apply state-of-the-art machine learning and AI techniques such as LLMs and neural rankers to both structured and unstructured data. In addition to developing models, we’re also looking for someone who can deploy them at large scale with low latencies to serve our customers dynamically. What you’ll do Model Development & Data Strategy: Lead development of machine learning models and algorithms to improve our search ranking and how we match consumers with pros. Success in these areas will impact user experience & engagement, retention, and conversion rates - critical metrics for business success. Model Deployment & MLOps: Implement robust MLOps practices to ensure the seamless deployment and scalability of machine learning models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, data scientists, product managers, and designers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia. Who you are You have a Master’s or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields). You have 7+ years of experience in data science & machine learning, with a focus on real-time ML models, ideally within the tech industry & marketplace environments. You are an expert in machine learning and deep learning, and have a good working knowledge of large language models. You have a proven track record of deploying highly impactful machine learning models into production environments. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Compensation and Benefits The salary band for this position ranges from $200,000 - $280,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living. This position will be eligible for a competitive year-end performance bonus & equity package. Full medical, dental, vision package to fit your needs. Flexible vacation policy; work hard and take time when you need it. Pet discount plans & retirement plan with company match (401K). The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world. Apply for this job * indicates a required field #J-18808-Ljbffr

Staff Accountant

Robert Half New York, NY

Job Description Job Description We are seeking a diligent Staff Accountant to join our team in a non-profit organization located in New York. As a Staff Accountant, your responsibilities will include managing and analyzing our general ledger, preparing and posting journal entries, overseeing month-end close processes, and supervising both accounts payable and receivable. This role also involves bank reconciliations and assisting with the preparation of schedules and collation of items for reports. Responsibilities • Manage and analyze the general ledger to ensure accuracy in financial information • Prepare and post journal entries to keep our financial records up-to-date • Oversee the month-end close processes to ensure timely financial reporting • Handle accounts payable and receivable to keep track of the organization's cash flow • Perform bank reconciliations to ensure accuracy in our financial records • Assist in preparing schedules and collating items for reports to support the organization's decision-making process • Maintain files and accounts to ensure easy retrieval and reference of financial information • Take on ad hoc projects as assigned to support the financial management of the organization • Utilize specific accounting software and Excel to effectively perform your accounting tasks.• Minimum of 3 years of experience in a Staff Accountant role or similar position • Proven expertise in Accounts Payable (AP) and Accounts Receivable (AR) • Experience performing Bank Reconciliations • Knowledge and understanding of General Ledger • Proficiency in creating and managing Journal Entries • Experience in executing Month End Close procedures • Familiarity with NetSuite software • Proficiency in using Great Plains Dynamics software • Prior experience in the Non-Profit industry is preferred but not required • Bachelor's degree in Accounting, Finance, or a related field is advantageous • Strong analytical skills and attention to detail • Excellent written and verbal communication skills • Ability to work independently and as part of a team

Staff Accountant

LHH Recruitment Solutions New York, NY

Job Description Job Description LHH Recruitment Solutions is working with one of our clients to fill a temp to hire Staff Accountant position in New York, NY. If you are looking for your next opportunity to provide the following skills to a great organization, apply now for immediate consideration Reconciling accounts and preparing journal entries Preparing and analyzing financial statements Managing fixed assets and prepaid schedules Qualifications Accounting degree required Strong technical skills Previous experience preparing month-end financials $30-35/hr Pay Details: $30.00 to $35.00 per hour Search managed by: Shoshana Ronen Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate -privacy The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance

Cleaning Staff, NoHo

SoulCycle New York, NY

We’re purpose-driven. With every ride, we aim to redefine health and happiness. It’s all about being more than a workout: SoulCycle is a mind-body-soul experience, built on community, love, respect, acceptance, and a lot of fun. It comes to life through the ride, the relationships, and the unparalleled hospitality. And all of that comes from our people. Join us—we’d love to have you. Our Mission To foster an open, diverse, & inclusive community—while embracing each unique individual exactly as they are. We empower each other by listening with an open mind, finding ways to learn and grow together, and always nurturing a sanctuary of trust. To make a real, lasting impact, we’ll work nonstop to embrace and create change. Because nobody is equal until everyone is equal. Job Description We are seeking passionate, service-oriented, positive, hard-working and experienced cleaning professionals to join our team! Responsibilities: Studio cleaning and prepping, including cleaning of exercise equipment (bikes, weights), floors and mirrors. Common area cleaning, including front desk, lockers, retail shelves, office and hallways. Bathroom and changing room cleaning. Reports to MOD-Team Lead and Studio Manager. Reports any questions, issues, etc. to MOD, MOD Team Lead and Studio Management. Checks the Cleaning Clip board daily when arriving to the studio for each shift and reviews all announcements. Qualifications Excellent cleaning skills - Must possess a clear understanding of what constitutes a clean and sanitary environment. Ability to service athletic equipment along with previous experience working with cleaning products and hand tools. Detail oriented and thorough. Ability to take direction well. Friendly, personable & must have a great attitude. Excellent organizational skills. Dependable and reliable. Must have the flexibility to work a non-traditional schedule - MUST HAVE WEEKEND, HOLIDAY AND SOME EARLY MORNING/MIDDAY/LATE EVENING WEEKDAY AVAILABILITY. Pay Transparency: $16.00/hr Physical Requirements: Must be able to work in a fast paced environment. Must be able to kneel, bend, reach, climb and stand for long durations of time. Must be able to lift/carry a minimum of 30lbs. #J-18808-Ljbffr

Cleaning Staff

SoulCycle, Inc. New York, NY

Studio cleaning and prepping, including cleaning of exercise equipment (bikes, weights), floors and mirrors. Common area cleaning, including front desk, lockers, retail shelves, office and hallways .

Staff Assistant

United Nations New York, NY

Org. Setting and Reporting This position is located in the Digital Government Branch in the Division for Public Institutions and Digital Government (DPIDG) of the Department of Economic and Social Affairs (DESA). The Staff Assistant reports to the Chief of Branch. DPIDG focuses on supporting countries in improving effective, accountable and inclusive institutions at all levels for internationally agreed development goals, including the Sustainable Development Goals(SDGs). More information on DPIDG is available at https://publicadministration.desa.un.org Responsibilities Within limits of delegated authority and under the guidance and supervision of the Chief of the Digital Government Branch (DGB), the Staff Assistant will be responsible for the following duties: •Performs, under minimal supervision, the full range of office management and administrative support functions; typically provides direct assistance to the Chief of DGB and Senior Officers in the Branch. •Maintains liaison across the Division and with the Executive Office and with senior officials in other units regarding on-going programmes and other administrative matters; monitors processes and schedules related to the projects of the Branch. •Ensures smooth and efficient information flow within the Branch; prepares and processes confidential information; assists in the development of office administrative systems and procedures. •Researches, compiles and summarizes background materials for use in preparation of reports, briefs, speeches, etc. •Provides assistance in the coordination of Branch-wide activities (meetings, training, etc.), special projects and events. •Orients new staff to relevant administrative procedures and practices and provides general assistance to other office support staff, as required. •Attends meetings, prepares minutes, monitors follow-up activities. •Responds or drafts responses to a wide range of correspondence and other communications; uses standard word processing package to produce a wide variety of large, complex documents and reports. •Carries out quality control function for outgoing documents; proofreads and edits texts for adherence for format, grammar, punctuation and style. •Responds to complex information requests and inquiries (e.g. answers requests requiring file search, etc.). •Assists in the preparation of presentation materials using appropriate technology/software. •Maintains calendar/schedules; monitors changes and communicate relevant information to appropriate staff inside and outside the immediate work unit. •Undertakes administrative processes to raise travel requests, consultancies, purchase orders, etc., using an Enterprise Resource Planning system (Umoja). •Assists with a variety of administrative duties, including leave recording, meeting organization, reservations, office supply and inventory updates; tracks paperwork through the entire administrative process to ensure timely completion. •Maintains files (both paper and electronic) and databases for work unit. •Performs other duties as assigned. Competencies •PROFESSIONALISM: Knowledge of general office and administrative support including administrative policies, processes and procedures. Shows pride in work and in achievements; demonstrates professional competence and mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; is motivated by professional rather than personal concerns; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations. Commitment to implementing the goal of gender equality by ensuring the equal participation and full involvement of women and men in all aspects of work. •COMMUNICATION: Speaks and writes clearly and effectively; listens to others, correctly interprets messages from others and responds appropriately; asks questions to clarify, and exhibits interest in having two-way communication; tailors language, tone, style and format to match audience; demonstrates openness in sharing information and keeping people informed. •PLANNING AND ORGANIZING: Develops clear goals that are consistent with agreed strategies; identifies priority activities and assignments; adjusts priorities as required; allocates appropriate amount of time and resources for completing work; foresees risks and allows for contingencies when planning; monitors and adjusts plans and actions as necessary; uses time efficiently. Education High school diploma or equivalent is required. Job - Specific Qualification Not available. Work Experience A minimum of five years of experience in general office support or related area is required. The minimum years of relevant experience is reduced to three years for candidates who possess a first-level university degree or higher. Experience in Enterprise Resource Planning systems (ERP), such as Umoja, and other relevant software packages is desirable. Experience working for senior officials in the United Nations, Permanent Missions of Member States and other counterparts is desirable. Languages English and French are the working languages of the United Nations Secretariat. For the post advertised, fluency in oral and written English is required. Knowledge of another official United Nations language is an advantage. Assessment Evaluation of qualified candidates may include an assessment exercise which may be followed by competency-based interview. Special Notice Staff members are subject to the authority of the Secretary-General and to assignment by him or her. In this context, all staff are expected to move periodically to new functions in their careers in accordance with established rules and procedures. This position is subject to local recruitment pursuant to staff rule 4.4 of the United Nations Staff Rules. Applicants for positions in the General Service and related categories must be authorized to work for the United Nations in the duty station where the position is located. Eligible applicants selected from outside the duty station are responsible for any expenses in connection with their relocation to the duty station. Staff members subject to local recruitment are not eligible for allowances or benefits exclusively applicable to international recruitment. United Nations Considerations According to article 101, paragraph 3, of the Charter of the United Nations, the paramount consideration in the employment of the staff is the necessity of securing the highest standards of efficiency, competence, and integrity. Candidates will not be considered for employment with the United Nations if they have committed violations of international human rights law, violations of international humanitarian law, sexual exploitation, sexual abuse, or sexual harassment, or if there are reasonable grounds to believe that they have been involved in the commission of any of these acts. The term "sexual exploitation" means any actual or attempted abuse of a position of vulnerability, differential power, or trust, for sexual purposes, including, but not limited to, profiting monetarily, socially or politically from the sexual exploitation of another. The term "sexual abuse" means the actual or threatened physical intrusion of a sexual nature, whether by force or under unequal or coercive conditions. The term "sexual harassment" means any unwelcome conduct of a sexual nature that might reasonably be expected or be perceived to cause offence or humiliation, when such conduct interferes with work, is made a condition of employment or creates an intimidating, hostile or offensive work environment, and when the gravity of the conduct warrants the termination of the perpetrator's working relationship. Candidates who have committed crimes other than minor traffic offences may not be considered for employment. Due regard will be paid to the importance of recruiting the staff on as wide a geographical basis as possible. The United Nations places no restrictions on the eligibility of men and women to participate in any capacity and under conditions of equality in its principal and subsidiary organs. The United Nations Secretariat is a non-smoking environment. Reasonable accommodation may be provided to applicants with disabilities upon request, to support their participation in the recruitment process. By accepting a letter of appointment, staff members are subject to the authority of the Secretary-General, who may assign them to any of the activities or offices of the United Nations in accordance with staff regulation 1.2 (c). Further, staff members in the Professional and higher category up to and including the D-2 level and the Field Service category are normally required to move periodically to discharge functions in different duty stations under conditions established in ST/AI/2023/3 on Mobility, as may be amended or revised. This condition of service applies to all position specific job openings and does not apply to temporary positions. Applicants are urged to carefully follow all instructions available in the online recruitment platform, inspira, and to refer to the Applicant Guide by clicking on "Manuals" in the "Help" tile of the inspira account-holder homepage. The evaluation of applicants will be conducted on the basis of the information submitted in the application according to the evaluation criteria of the job opening and the applicable internal legislations of the United Nations including the Charter of the United Nations, resolutions of the General Assembly, the Staff Regulations and Rules, administrative issuances and guidelines. Applicants must provide complete and accurate information pertaining to their personal profile and qualifications according to the instructions provided in inspira to be considered for the current job opening. No amendment, addition, deletion, revision or modification shall be made to applications that have been submitted. Candidates under serious consideration for selection will be subject to reference checks to verify the information provided in the application. Job openings advertised on the Careers Portal will be removed at 11:59 p.m. (New York time) on the deadline date. No Fee THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS' BANK ACCOUNTS.

Staff Machine Learning Engineer

Intuit Inc New York, NY

Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you’ll work alongside data scientists and machine learning engineers to create AI-powered experiences. You’ll be expected to help conceive, code, and deploy models at scale using the latest industry tools. Important skills include creating data pipelines, developing and deploying models, and machine learning operations. What you'll bring BS, MS, or PhD degree in Computer Science or related field, or equivalent work experience. 6+ years of experience Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark). Knowledge of machine learning techniques (i.e. classification, regression, and clustering). Understand machine learning principles (training, validation, etc.) Knowledge of data query and data processing tools (i.e. SQL) Computer science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance (e.g., I/O and memory tuning). Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. Experience deploying highly scalable software supporting millions or more users Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP) Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users How you will lead Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. Build "machine learning ready" feature pipelines. Partner with data scientists to understand, implement, refine and design machine learning and other algorithms. Run regular A/B tests, gather data, and draw conclusions on the impact of your models. Monitor and maintain production models. Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders. Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is New York $191,000 – 258,500, Bay Area California $191,000 – 258,500, Southern California $180,000 – 243,500. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits) (https://www.intuit.com/careers/benefits/full-time-employees/) . Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Quick Apply

Staff Associate-Marketing

College of Charleston New York, NY

Columbia Business School is seeking to hire a Staff Associate in the Marketing Division.Under the guidance of the Marketing faculty liaison and Senior Associate Director of Research Programs, the Staff Associate will take an active role in ongoing research projects in the Division of Marketing. The work will include quantitative and qualitative research and analysis, collection, coordination, and management of information and data, development and implementation of computer models and simulations, and development of research materials (figures, presentations, papers, etc.).This position provides an opportunity to gain experience in academic business research, with a special focus on fields such as marketing, statistics, and economics; and would be ideal preparation for a Ph.D. program or other graduate study.All duties involve work in one or more of the following areas of research: accounting, finance, economics, and statistics.(30%) Collect, clean, and maintain computer data sets and databases. Assist with data entry and ensure data integrity. Extract and link data from multiple databases for analysis. Prepare detailed documentation.(25%) Develop models and implement program code (STATA, R, Matlab, Python, etc.).(20%) Perform statistical analysis, including regression analysis.(15%) Assist with data analysis and dissemination of findings through the preparation of reports, journal articles, presentations, websites, and other research outlets.(10%) Perform case-based research, including work with detailed primary documents.All applicants should have a Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, or Engineering. At least 6 months of research experience in a research role as a research assistant during the academic year; or a 3-month summer internship in a research lab, a governmental institution such as the NY Fed, or a corporate research lab.Specific skills and/or knowledge required for the position:Programming experience in STATA is required. Strong preference for those who also know Python.Additional programming experience in one or more of the following languages: R, SQL, SAS, Matlab, and/or C is preferred.Familiarity with statistical tools such as linear regression is required.Familiarity with text parsing and analysis (natural language processing) and/or machine learning techniques is preferred.Demonstrated exceptional written and oral communication skills are needed; a writing sample is required.The candidate must be able to work on multiple projects simultaneously.Columbia University is an Equal Opportunity Employer / Disability / Veteran.Pay Transparency Disclosure: The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.#J-18808-Ljbffr

New York, NY

Posted 22 days ago

Finance and Insurance

70000USD - 80000USD per year

Job Description

Job Description Job Description A rapidly growing Software company is currently looking for a talented Staff Accountant to join their team.

Responsibilities of this position will include: -

Performing account reconciliations -

Supporting general ledger maintenance -

Preparing journal entries and assisting with month end close -

Updating cash tracker for AP, AR, and Treasury teams -

Support budgeting, forecasting, and variance analysis -

Assisting with periodic audits by preparing the necessary documents and schedules -

Participating in special projects and ad-hoc requests as required.

For immediate consideration for this position please contact Ben.Turnbull@roberthalf. -

Bachelor’s degree in Finance, Accounting or related -

2+ years of experience -

Strong US GAAP knowledge -

Advanced MS Excel skills -

NetSuite experience is a plus