Job Title: Data Analyst (Python +Pyspark) About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job Description: Role: Data Analyst / Senior Data Analyst Location : Bangalore/ Pune Responsibilities Define and obtain source data required to successfully deliver insights and use cases Determine the data mapping required to join multiple data sets together across multiple sources Create methods to highlight and report data inconsistencies, allowing users to review and provide feedback on Propose suitable data migration sets to the relevant stakeholders Assist teams with processing the data migration sets as required Assist with the planning, tracking and coordination of the data migration team and with the migration run-book and the scope for each customer Role Requirements Strong Data Analyst with Financial Services experience, Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context "Knowledge of one or more of the following domains (including market data vendors): • Party/Client • Trade • Settlements • Payments • Instrument and pricing • Market and/or Credit Risk" Demonstrate a continual desire to implement “strategic” or “optimal” solutions and where possible, avoid workarounds or short term tactical solutions Working with stakeholders to ensure that negative customer and business impacts are avoided Manage stakeholder expectations and ensure that robust communication and escalation mechanisms are in place across the project portfolio Good understanding of the control requirement surrounding data handling Experience/Skillset Must have - • Excellent analytical skills and commercial acumen, Minimum 4+ years of experience with Python & Pyspark. • Good understanding of the control requirements surrounding data handling • Experience of big data programmes preferable • Strong verbal and written communication skills • Strong self-starter with strong change delivery skills who enjoys the challenge of delivering change within tight deadlines • Ability to manage multiple priorities • Business analysis skills, defining and understanding requirements • Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context • Can write SQL queries and navigate data bases especially Hive, CMD, Putty, Note++ • Enthusiastic and energetic problem solver to join an ambitious team • Good knowledge of SDLC and formal Agile processes, a bias towards TDD and a willingness to test products as part of the delivery cycle • Ability to communicate effectively in a multi-programme environment across a range of stakeholders • Attention to detail • Preferable knowledge and experience in Data Quality & Governance Good to have - • For Spark Scala - should have working experience using scala (preferable) or java for spark • For Senior DAs: proven track record of managing small delivery-focussed data teams [09:07] Mishra, Aditi #LI-Hybrid

• Collaborate with cross-functional teams to understand business requirements and report on data from various sources • Calculate traditional (PMPM costs, utilization, etc.) and novel (program engagement, capitation rates, etc.) healthcare metrics from claims and product data • Help to validate regular claims and eligibility data refreshes • Act as a healthcare data SME on a rapidly growing Data & Analytics team • Design, develop, and maintain algorithms and data models, using SQL and dbt • Create visually appealing and informative visualizations and dashboards to communicate data insights and enable data-driven decision-making • Create documentation and training materials for technical and non-technical users of data products

Role DescriptionAt Dropbox, people are our greatest asset. The People Analytics team partners closely with leaders across the company to help them make better, data-informed decisions about how we identify, attract, develop, and retain top talent. As Dropbox continues to scale and evolve its Talent Acquisition strategy, we’re looking for a Data Analyst who is passionate about problem-solving and using data to shape how we hire. In this role, you’ll partner deeply with Talent Acquisition, People Partners, and business leaders to analyze hiring data, uncover trends, and surface insights that influence workforce planning, recruiting strategy, and candidate experience. You’ll work across quantitative and qualitative data to understand what drives successful hiring outcomes, where bottlenecks exist, and how we can improve efficiency, quality, and equity in our hiring processes. You should have a demonstrated ability to think analytically about the business, translate ambiguous questions into structured analyses, and deliver clear, actionable insights. Success in this role requires strong attention to detail, high standards for data quality, and the ability to communicate findings in ways that drive real decisions. Responsibilities - Partner on analytics initiatives to understand and improve the effectiveness, efficiency, and quality of hiring across Dropbox. - Monitor and analyze core Talent Acquisition metrics, proactively identifying trends and uncovering the “what” and “why” behind changes in performance. - Build strong relationships with key stakeholders; lead requirements gathering and translate business questions into clear analyses and insights that inform People and business leader decisions. - Answer complex business questions through independent investigation and data forensics, leveraging the data warehouse to deliver timely, high-impact insights. - Uphold high standards for data quality and consistency by validating data, standardizing definitions and calculations, and contributing to shared data toolkits and enablement materials. - Contribute to TA reporting and dashboards by building visualizations and partnering with IT and analytics peers to enhance data models and warehouse capabilities. Requirements - BA/BS in an analytical or quantitative field such as Industrial/Organizational Psychology, Mathematics, Statistics, Computer Science, Engineering, or a related discipline. - 3+ years of experience in an HR-focused, stakeholder-facing Data Analytics role, with at least 1 year of experience focusing on Recruiting/Talent Acquisition insights. - Strong storytelling skills with data, including the ability to select appropriate analytical approaches and visualization techniques for different audiences and decision contexts. - Proven ability to analyze large, complex datasets, synthesize insights quickly, and communicate clear, actionable recommendations. - Demonstrated experience driving analytics projects end to end, from problem framing and analysis through to execution and impact. - Fluency in SQL and advanced Excel; experience using statistical or analytical tools such as R or Python. - Ability to think creatively and critically and thrive in a fast-paced, multifaceted, and often ambiguous environment. - Collaborative, humble team player who proactively supports teammates and shared goals. - Demonstrated ability to conceptualize employee experience as a product, with proven success applying product management principles (roadmapping, user journeys, feature prioritization) to HR initiatives - Proficiency in leveraging design thinking methodologies to deeply understand employee needs, rapidly prototype experience solutions, and implement data-driven iteration cycles that measurably enhance engagement and retention - Demonstrated experience leveraging AI tools in the flow of work. Candidates with a pre-existing comfort level & familiarity using AI to enhance productivity are strongly preferred. Preferred Qualifications - Additional technical skills (Tableau, R, Python) - Strong executive presence / verbal presentation skills CompensationUS Zone 1 This role is not available in Zone 1 US Zone 2 $123,900—$167,700 USD US Zone 3 $110,200—$149,000 USD

Role DescriptionAt Dropbox, people are our greatest asset. The People Analytics team partners closely with leaders across the company to help them make better, data-informed decisions about how we identify, attract, develop, and retain top talent. As Dropbox continues to scale and evolve its Talent Acquisition strategy, we’re looking for a Data Analyst who is passionate about problem-solving and using data to shape how we hire. In this role, you’ll partner deeply with Talent Acquisition, People Partners, and business leaders to analyze hiring data, uncover trends, and surface insights that influence workforce planning, recruiting strategy, and candidate experience. You’ll work across quantitative and qualitative data to understand what drives successful hiring outcomes, where bottlenecks exist, and how we can improve efficiency, quality, and equity in our hiring processes. You should have a demonstrated ability to think analytically about the business, translate ambiguous questions into structured analyses, and deliver clear, actionable insights. Success in this role requires strong attention to detail, high standards for data quality, and the ability to communicate findings in ways that drive real decisions. Responsibilities - Partner on analytics initiatives to understand and improve the effectiveness, efficiency, and quality of hiring across Dropbox. - Monitor and analyze core Talent Acquisition metrics, proactively identifying trends and uncovering the “what” and “why” behind changes in performance. - Build strong relationships with key stakeholders; lead requirements gathering and translate business questions into clear analyses and insights that inform People and business leader decisions. - Answer complex business questions through independent investigation and data forensics, leveraging the data warehouse to deliver timely, high-impact insights. - Uphold high standards for data quality and consistency by validating data, standardizing definitions and calculations, and contributing to shared data toolkits and enablement materials. - Contribute to TA reporting and dashboards by building visualizations and partnering with IT and analytics peers to enhance data models and warehouse capabilities. Requirements - BA/BS in an analytical or quantitative field such as Industrial/Organizational Psychology, Mathematics, Statistics, Computer Science, Engineering, or a related discipline. - 3+ years of experience in an HR-focused, stakeholder-facing Data Analytics role, with at least 1 year of experience focusing on Recruiting/Talent Acquisition insights. - Strong storytelling skills with data, including the ability to select appropriate analytical approaches and visualization techniques for different audiences and decision contexts. - Proven ability to analyze large, complex datasets, synthesize insights quickly, and communicate clear, actionable recommendations. - Demonstrated experience driving analytics projects end to end, from problem framing and analysis through to execution and impact. - Fluency in SQL and advanced Excel; experience using statistical or analytical tools such as R or Python. - Ability to think creatively and critically and thrive in a fast-paced, multifaceted, and often ambiguous environment. - Collaborative, humble team player who proactively supports teammates and shared goals. - Demonstrated ability to conceptualize employee experience as a product, with proven success applying product management principles (roadmapping, user journeys, feature prioritization) to HR initiatives - Proficiency in leveraging design thinking methodologies to deeply understand employee needs, rapidly prototype experience solutions, and implement data-driven iteration cycles that measurably enhance engagement and retention - Demonstrated experience leveraging AI tools in the flow of work. Candidates with a pre-existing comfort level & familiarity using AI to enhance productivity are strongly preferred. Preferred Qualifications - Additional technical skills (Tableau, R, Python) - Strong executive presence / verbal presentation skills CompensationCanada Pay Range $104,600—$141,500 CAD