Role Description We are looking for an experienced Data Analyst/Engineer to join our team. In this role, you will: - Develop self-service dashboards - Build data models - Monitor key product features - Collaborate with cross-functional teams to drive impactful decisions This role offers an opportunity to work with large datasets, optimise analytical processes, and influence product growth with meaningful data insights. Qualifications - 4+ years of experience as a BI/Data Analyst or Data Engineer - Hands-on experience with data warehousing and ETL pipelines - Advanced knowledge of SQL - Hands-on experience with AWS (Athena, Redshift) - Good written and spoken English Requirements - Experience with AI agents (nice to have) - Computer science fundamentals (nice to have) - Knowledge of Python (nice to have) - Hands-on experience with QuickSight, Tableau or PowerBI (nice to have) - Good knowledge of statistics and probability theory (nice to have) Benefits - The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member - Competitive compensation and perks - Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company - Gig-contract - 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation - Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves - Medical insurance is provided from day one. Sick leaves and medical leaves are available - Remote working mode is available within Ukraine only - Free meals, fruits, and snacks when working in the office

• Be the analytical lead embedded across four product teams • Translate product hypotheses into measurable analytical questions • Design and evaluate experiments and A/B tests • Monitor product performance and surface early signals of impact • Build decisioning frameworks and maintain success metrics • Collaborate with functions on shared models and KPIs

Role Description Seeking Alpha is looking for a Market Data Analyst to join our dynamic Data Team. In this role, you will be responsible for designing, building, and maintaining cross-vendor data through systematic quality checks, data pipelines, and exploring new data opportunities, all while ensuring the highest standards of accuracy for our platform. We need a high-ownership professional who is deeply inquisitive and learns fast enough to master our complex back-end systems. You must be highly familiar with corporate actions (dividends, splits, earnings, etc.) and their impact on market data. If you have extensive financial data experience, love driving projects independently with minimal handholding, and thrive on optimizing data infrastructure, we want to hear from you. What You'll Do - Data QA Methodology: Drive Quality Assurance testing for market data tasks. Set the gold standard in QA processes and methodology, moving far beyond a "box-checking" approach to ensure absolute data integrity. - Advanced Data Support: Provide white-glove service for complex support data escalations. Handle financial data inquiries ranging from basic stock chart investigations to complex cases involving detailed questions around historical fundamental data statements and financial metrics/ratios. - Cross-Functional Collaboration: Partner with Product Management and engineering teams using JIRA to track, prioritize, and independently solve a significant number of outstanding data errors, driving cases and projects to efficient conclusions. Requirements - 5-7 years of working experience within the financial industry, with a focus on Equities data including Fundamentals, Estimates, Market Data, etc. - Highly experienced in designing and developing QA processes for financial data. - General exposure and interest in quantitative and systematic financial modeling. - Technical ability to work with Data Feed and API products, including working SQL query knowledge and data transformation scripting in Python is a plus. - Experience with one of the major financial data vendors, either as an employee or a client (S&P, Factset, Bloomberg, etc.). - General understanding of Product Management principles and processes, and experience as a detailed and highly organized JIRA user. - Ability to understand Big Picture Strategy while still being able to deliver on very detail-oriented and potentially complex data quality tasks. - Excellent problem-solving abilities and a customer-centric mindset – you love to give good service to our internal and external customers. - Able to prioritize and solve a significant number of outstanding data errors independently and drive cases and projects to conclusions efficiently across teams. - Fluent English - a must. Working Terms - Location: Remote work from India. - Hours: Monday – Friday, 11:00 AM – 8:00 PM IST.

Title: Data Analyst locations Beavercreek, OH time type Full time job requisition id R0242373 Data Analyst The Opportunity: The Data Analyst will work with a team to provide high-quality service to our customers in managing a portfolio of systems. This role is responsible for executing data quality and data asset management activities. This position is a collaborative role that supports analysis and research into data structures, attribution, maintenance, and models to ensure alignment with the organization’s strategic data management direction. The Data Analyst is also responsible for maintaining the visibility and integrity of the portfolio’s data asset inventory by identifying and closing information gaps. The Data Analyst will work within an agile team to provide high-quality service to customers by applying analytical techniques to determine solutions aligned with client requirements within the IT services and solutions scope. The role involves analyzing and reverse-engineering business and technical artifacts to capture, store, and maintain metadata for systems within the portfolio. The Data Analyst may also develop and maintain data quality assessments and data profiles and will work closely with functional and technical data stewards to present findings and recommendations. What You'll Do: - Analyze operational activities to obtain a quantitative, rational basis for decision making and resource allocation. - Conceptually understand and convey complex topics related to data management, data governance, and data maturity to stakeholders and leadership. - Work with subject matter experts (SMEs) across organizations to collect and update business and technical metadata. - Reverse engineer data models and other design or build artifacts to extract relevant business and technical metadata and load into a metadata repository. - Review submitted data to detect data quality problems and anomalies and assist with correcting current and historical data. - Collect and analyze data and associated system artifacts to support stakeholders in improving business practices. - Perform analysis to determine how data can best be applied to benefit stakeholders. - Develop ETL routines to load and curate disparate data sets. - Analyze and reverse-engineer business and technical artifacts such as data models, data catalogs, design documentation, and interfaces. - Develop and maintain data quality assessments and data profiles. - Collaborate with functional and technical data stewards to present findings and provide recommendations. Join us. The world can't wait. You Have: - Experience in data analysis - Experience with ETL performance optimization or data movement software such as StreamSets, Databricks, or Jupyter Notebooks - Experience using SQL for data analysis, and querying data - Experience with Python - Knowledge of working with databases and tables - Ability to obtain a Secret clearance - Bachelor’s degree Nice If You Have: - Experience with Air Force data - Experience with logistics - Experience in requirements elicitation - Experience in Information Management, including data design, data transformation, data governance, or DAMA DMBOK-aligned practices - Experience working with and defining data - Experience in logical data modeling and data normalization - Experience interpreting data and analyzing results using statistical techniques - Experience with data collection systems and data collection strategies - Ability to logically articulate ideas verbally and diagrammatically - Possession of excellent written and verbal communication skills Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $61,900.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.