Senior Data Analyst

A Career with Point72's Finance Team The Finance team provides a broad range of timely, accurate, relevant, and objective financial information, advice, and services to its business partners, with commitment to the highest professional and ethical standards. Our team offers a dynamic and collaborative environment where our colleagues can learn at a fast pace and are rewarded with advanced opportunities both within Finance and across the firm. WHAT YOU’LL DO Build and enhance scalable fund reporting processes and controls that support growth, improve accuracy, and reduce operational risk Prepare and review interim and year-end financial statements for investment funds, with a focus on accuracy and clear disclosure Partner with Tax, Operations, Treasury, Valuation, Legal, Compliance, and Investor Relations to deliver timely, integrated fund reporting Liaise with external fund administrators and auditors to manage audits, reconciliations, and reporting deliverables from planning through completion Drive automation and process improvements that streamline workflows, strengthen data integrity, and expand reporting capabilities as the business grows Support new fund launches and restructurings by executing accounting deliverables, fee calculations, and related documentation Prepare regulatory and investor-facing reports, ensuring consistency, accuracy, and adherence to reporting timelines Own ad hoc projects and strategic requests from senior management, balancing independent execution with close collaboration across the Finance team WHAT’S REQUIRED Undergraduate or graduate degree in accounting 2+ years of work experience at a public accounting firm or a combination of public and private accounting roles Experience in audit or accounting within the financial services sector Strong data analysis skills with experience working with large datasets and reconciling complex accounting information Excellent organizational skills with a track record of delivering accurate work u

The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call. As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday, with the option to work from home on Wednesdays and, depending on the work and the teams you partner with, on Fridays. If you're interviewing for this role, your recruiter will share more about the in-office expectations. What you'll achieve: Own the Gold layer for a given business domain (e.g. PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means, who owns it, a

CAPCO POLAND * We're looking for Poland-based candidates. JOIN OUR MUREX DELIVERY TEAM Capco Poland is a global technology and management consultancy specializing in digital transformation across the financial services industry. We partner with leading global banks to deliver complex Capital Markets and Murex transformation programmes. We are currently looking for an experienced Murex Test Manager with hands-on expertise in MxTest to join large-scale Murex implementation and upgrade projects. This is an opportunity to play a key role in defining testing strategies, building reusable test assets, and ensuring the quality of one of the world's leading Capital Markets platforms. WHAT YOU WILL DO As a Murex Test Manager, you will lead testing activities across Murex implementation, upgrade, and transformation programmes. Your responsibilities will include: Define and execute the overall Murex testing strategy across multiple workstreams. Design, develop, and maintain MxTest test cases and reusable regression packs. Build comprehensive test coverage across Front Office, Risk, Back Office, Market Data, Interfaces, and Reporting modules. Coordinate SIT, UAT, regression, and dress rehearsal activities. Ensure traceability between business requirements and test scenarios. Manage test execution, defect lifecycle, and reporting. Collaborate with Business Analysts, Developers, SMEs, and Business Users throughout the delivery lifecycle. Support production cutover, post-release validation, and hypercare activities. Promote testing best practices and continuously improve testing processes and automation. WHAT YOU CAN GAIN Work on large-scale Murex transformation programmes for leading international financial institutions. Become part of a highly specialized Capital Markets consulting practice. Shape testing frameworks that will be reused across future Murex upgrade programmes. Collaborate with senior Murex architects, developers, and functional consultants. Exposure to compl

Senior Data Migration Specialist About the Project We are looking for an experienced Senior Data Migration Specialist to provide expertise on a large-scale transformation programme within the financial services sector. This opportunity is suited to a senior migration specialist who combines strong technical knowledge with experience coordinating complex migration activities across business and technology teams. The engagement focuses on migrating data from a legacy SaaS platform to a new strategic solution. The programme is currently shaping its migration approach and entering a critical phase of planning, reconciliation design, and cutover preparation. Scope of services: As a Senior Data Migration Specialist, you will: Coordinate the development and delivery of the end-to-end data migration strategy. Define migration approaches, data quality standards, validation criteria, and reconciliation processes. Coordinate the design and implementation of qualitative and financial reconciliation tooling. Collaborate with business stakeholders, solution architects, engineering teams, testing teams, and third-party vendors to ensure successful migration outcomes. Facilitate migration planning activities, including migration waves, cutover planning, rollback scenarios, and readiness assessments. Identify migration risks, dependencies, assumptions, and issues throughout the programme lifecycle. Communicate delivery progress, key risks, and dependencies to programme stakeholders. Contribute to the continuous improvement of migration methodologies, governance practices, and delivery standards. Required Experience Proven experience leading enterprise-scale data migration initiatives within financial services or another highly regulated industry. Strong technical knowledge of: data migration methodologies, ETL processes, data quality management, reconciliation approaches, migration tooling and validation techniques. Experience working with SaaS platforms and complex system mi

Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value . Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling . As an Analytical Engineering Manager, you lead a team of Analytical Engineers who own the data foundations for the business: the Gold layer, canonical metrics, certified dashboards, and semantic layer that make Asana's most important numbers trustworthy, and that make AI-powered self-serve through Claude and Databricks Genie actually work. You sit at the intersection of Data Engineering, Analytics, and Data Science, and you are accountable for whether business stakeholders trust the data in your team's domains and can answer their own questi ons without routing through your team. This role is based in our Warsaw office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements . We offer a Contract of Employment (UoP) for our employees in Poland. What you’ll achieve Lead, grow, and develop a team of Analytical Engineers: Own hiring, coaching, performance, and career growth, setting a high bar for data-model quality and stakeholder trust. Own the Gold layer and semantic-layer strategy across your team's domains (e.g. PLG, marketing, revenue, NPI/AWM), taking accountability for curated data models, canonical metrics, dashboards, and Genie spaces. Treat every recurring insight as a product with an owner, a cadence, and an SLA, building a catalog of trusted, versioned data products instead of one-off rebuilds. Drive self-serve enablement by prioritizing Go

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Data Scientist, Commercial Analytics will leverage advanced analytics, machine learning, experimentation, and predictive modelling to identify growth opportunities, reduce customer churn, optimize territory and account planning, and support strategic decision-making across the commercial organization. This role works with large-scale customer, sales, product usage, and financial datasets to develop scalable analytical solutions that influence key business outcomes. It aligns closely with commercial priorities such as Annual Recurring Revenue (ARR) growth, retention, expansion, customer lifetime value, sales effectiveness, and portfolio optimization. Responsibilities: Develop, deploy, and maintain machine learning models that support Customer churn prediction, Upsell and cross-sell propensity scoring, Whitespace opportunity identification, Customer lifetime value prediction, Renewal risk assessment and Sales forecasting. Apply advanced statistical techniques to identify key drivers of customer behaviour and commercial performance. Design and evaluate experiments to improve acquisition, retention, and expansion outcomes. Build analytical frameworks to improve Sales and Annual Recurring Revenue (ARR), Customer retention, Expansion revenue and Sales productivity. Conduct deep-dive analyses into customer, product, and sales performance. Create segmentation models that support territory design, account pl