Data Steward Jobs

About Us Blueshift is the Intelligent Customer Engagement Platform (CEP), headquartered in San Francisco, that empowers leading B2C brands to drive truly personalized, 1:1 marketing across every channel. Founded by repeat entrepreneurs who previously built Mertado (acquired by Groupon) and were part of the early team at Kosmix (acquired by Walmart), Blueshift leverages AI, including Predictive, Generative, and Agentic AI, to automate customer engagement for clients like ClearScore, LendingTree, Udacity, and U.S. News. Backed by top-tier VCs including Nexus Venture Partners, Storm Ventures, and SoftBank Venture Asia, the company has raised a total of $65 million in venture funding and is consistently recognized as a market leader and a Deloitte Technology Fast 500 award recipient. Blueshift is actively scaling its development center in Pune, India. As part of our team, you will drive innovation in cutting-edge technologies including machine learning, artificial intelligence, big data, and large-scale distributed data systems. This is an exciting career path for motivated individuals looking to build complex, impactful solutions that define the future of customer engagement. AI Solutions Engineer II As a Software Engineer in the AI Solutions team , you occupy a unique techno-functional position. You are not a researcher; you are an implementation specialist and problem-solver . You bridge the gap between our core AI infrastructure and real-world customer impact. You aren't just writing code; you are applying data engineering, analysis, and AI knowledge to help global brands realize the full potential of AI-driven marketing. Responsibilities End-to-End Solution Delivery: Lead the full lifecycle of custom AI projects—from initial customer design and technical architecture to testing and production implementation. Production Stewardship: Take ownership of the "last mile" of delivery. This includes triaging technical tickets, analyzing logs (Datadog/Kibana), and deb

The Supplier Consulting Analyst III provides analytical support for healthcare supply chain consulting engagements, including customer onboarding, business process optimization, and solution adoption initiatives. This role collaborates with consulting and cross-functional teams to analyze customer and transactional data, identify improvement opportunities, and deliver actionable insights that support business strategies and operational efficiency. Principal Duties and Responsibilities: · Analyze and reconcile customer account data across systems, identifying duplicates, unmatched records, and data quality issues. · Analyze purchasing activity, transaction volumes, and customer connectivity to support onboarding plans and prioritization. · Develop and maintain reports and dashboards measuring customer onboarding, transaction acceptance, adoption, utilization, and exceptions. · Prepare analytical summaries, presentations, and other project deliverables for multiple concurrent engagements. · Collaborate with internal teams to validate data, investigate discrepancies, and resolve reporting issues. · Support data analysis and reconciliation for system implementations, integrations, migrations, and business transitions. · Analyze customer contact and outreach data, including registration progress and communication results. · Communicate analytical findings to internal stakeholders and present results to customers when appropriate. · Standardize reporting templates, document analytical methods, and identify opportunities to improve efficiency. Required Qualifications: · Bachelor’s degree or equivalent work experience · 2–4 years of experience in data analysis, business analytics, reporting, or a related field. · Strong analytical, communication, and presentation skills, with the ability to explain findings to technical and nontechnical audiences. · Excellent attention to detail, organization, problem-solving, and ability to

Summary We are seeking an organised and self-motivated Data Analyst to work embedded in our Everyday Banking team, to help shape the development of one of the world's leading FinTech products. About the opportunity As a Data Analyst (Product) you will enable our product and business segments (Cards, Payments in the Everyday Banking domain to make data-driven decisions. You will monitor, measure and analyse the effectiveness of your product teams’ initiatives, as well as help drive the strategy of your business segment. You are here to establish a data-mindset and thereby to foster a culture of continuous learning and improvement. You will work in a cross functional setup, working closely with other analysts, engineers, designers, and product managers. In this role, you will: Help us set the right goals: Develop clear and measurable targets based on an initiatives’ scope. Improve our overall forecasting and goal setting capabilities. Handle stakeholders: Be an internal go-to-person for your teams when it comes to data related questions. Evaluate initiatives: Support Product experimentation & A/B testing initiatives; design test plans, obtain cross-functional alignment, execute robust analysis, and deliver actionable insights. Share these learnings through clear documentation and concise and empathic communication. Contribute to self-serve data platform: Help building the right analytics foundations ,by pairing up with technical peers, so our product and business teams can interact with data and extract the right insights themselves. Provide monitoring tools: Build the dashboards your team looks at every week to make sure they are impacting our company OKRs. Improve data literacy of organisation: Educate teams to become independent when it comes to data access and understanding function led training and team wide workshops to foster data driven culture. Be part of our data-community: Collaborate with a broad range of analytics t

Data Engineer V itD is seeking a Data Engineer V to maintain and optimize critical data pipelines supporting Company’s revenue reporting and metric infrastructure. The ideal candidate will bring 10+ years of experience in data engineering, with strong expertise in Python, Hive, and ETL pipelines, along with a proven ability to investigate data errors, resolve data quality issues, and ensure reporting pipelines meet service-level agreements (SLAs). Location: Remote (PST time zone preferred; former Meta experience preferred). Duration: 3 months Pay Rate: Depending on experience. We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Investigate and troubleshoot rMetric errors to determine whether reported issues represent actual data or pipeline failures or expected system behavior. Analyze and expand Nest metrics, including identifying and classifying components as widgets where applicable. Monitor revenue reporting and rMetrics pipelines to ensure SLA adherence and maintain reliable reporting operations. Resolve minor data quality issues, including identifying and correcting NULL segment values in linked rMetrics. Maintain, troubleshoot, and implement changes to existing data pipelines to support ongoing business and reporting requirements. Collaborate with senior individual contributors and cross-functional stakeholders to prioritize weekly deliverables and complete assigned work. Support timely Monday reporting by identifying pipeline blockers, investigating issues, and implementing appropriate resolutions. Internal Responsibilities Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material, including blogs and media material. Build out material to contribute to the Digital Transformation pra

Senior Data Analyst – Power BI About the Role We are looking for a Senior Data Analyst with strong hands-on expertise in Power BI, data visualization, and business intelligence to work on a broad range of analytics problems across various industries. The candidate should be able to translate business requirements into actionable insights, develop interactive dashboards, and effectively communicate findings and recommendations to clients. Key Responsibilities Engage with clients to understand their business context, objectives, and analytical requirements. Understand business processes and map end-to-end workflows using visual formats. Translate business problems into analytical frameworks and develop effective BI solutions using Power BI. Design, develop, and maintain interactive dashboards and reports to support business decision-making. Collaborate with Data Scientists, Data Engineers, and business stakeholders to integrate analytics into business processes. Define KPIs, metrics, and reporting requirements based on business objectives. Assess data quality, usability, and sufficiency to achieve desired business outcomes. Perform data analysis, identify trends and patterns, and generate actionable insights. Present analytical findings and recommendations through effective data visualization and storyboarding. Ensure the accuracy, consistency, and quality of dashboards and reports. Desired Skills & Competencies Strong hands-on experience with Power BI, including: Power BI Desktop and Power BI Service. Dashboard development, publishing, and workspace management. Data modelling, relationships, and schema design. DAX measures, calculated columns, and complex calculations. Power Query for data transformation and cleansing. Row-Level Security (RLS) implementation. Data refresh configuration and report performance optimization. Proficiency in MS SQL for data extraction, transformation, validation, and analysis. Experience in translating business requirements int

Data Quality Systems Intern Description - Before applying please note that, to be eligible for this position, you must be currently enrolled at a university in Spain , remain enrolled until the end of the internship, and be eligible to sign an internship agreement with your university. You must also be available to start the internship in February 2027 and continue participating in the program until June–July 2027 . Data Quality Systems Intern HP’s Take Back organization supports the responsible collection, recovery, and recycling of products at the end of their useful life. Reliable product data is essential to this mission, enabling accurate regulatory reporting, effective operational decisions, and strong collaboration with internal teams and external partners. We are looking for a motivated student to join our team and help improve the quality, completeness, and consistency of product information across our databases. The intern will contribute to validating master data, identifying gaps or discrepancies, supporting corrective actions with stakeholders, and exploring automated solutions that make data checks more efficient and scalable. This internship offers the opportunity to combine analytical thinking, technology, and sustainability in an international environment. The successful candidate will gain practical experience with data collection processes, databases, and automation while helping the Take Back organization strengthen data reliability and audit rea

Data Analytics & Automation Intern Description - Before applying please note that, to be eligible for this position, you must be currently enrolled at a university in Spain , remain enrolled until the end of the internship, and be eligible to sign an internship agreement with your university. You must also be available to start the internship in February 2027 and continue participating in the program until June–July 2027 . About the Role We are looking for a motivated and analytical Data and Automation Intern to join our EMEA Customer Support Supply Chain team in Barcelona. You will support the team in improving business performance visibility through data analytics, dashboard development, and process automation. Working closely with team members and stakeholders across EMEA, you will help transform operational and financial data into actionable insights that support decision-making and drive efficiency. Key Responsibilities Data Analytics & Reporting: Collect, consolidate, and analyze operational and financial data to monitor business performance and identify trends, gaps, and improvement opportunities. Power BI & Dashboards: Develop and maintain interactive dashboards and reporting views to track KPIs and Sub-KPIs, ensuring clear and reliable performance visibility. Process Automation: Identify repetitive manual tasks and support the development of automation solutions to improve efficiency, data accuracy, and scal

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Quality and Governance Product Manager Senior Specialist, Product Management Data Quality & Governance Product Manager, Small Business Credit Analytics (SBCA) ________________________________________ Overview Small Business Credit Analytics (SBCA) helps financial institutions make better lending and risk decisions through trusted, data-driven insights. We are seeking a Senior Specialist, Product Management to serve as the Data Quality & Governance Product Manager for the SBCA portfolio. This role will be accountable for establishing data quality standards, governance frameworks, and operational controls that ensure SBCA data is accurate, complete, timely, reliable, and trusted by customers. The ideal candidate combines strong product management skills with deep data expertise and will partner across Product, Engineering, Data Science, Data Engineering, Operations, and Customer Success teams to drive continuous improvements in data quality and governance. ________________________________________ Role Own the SBCA Data Quality Strategy and Roadmap • Define and execute the SBCA Data Quality and Governance roadmap. • Establish data quality standards, KPIs, scorecards, and operational objectives. • Drive improvements in data accuracy, completeness, consistency, freshness, coverage, an

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Engineer II Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview The Insights & Enablement Data Engineering team within Services is looking for a Data Engineer II based in Pune, India, to help build, enhance, and operate scalable, reliable, and governed data solutions that support analytics and data-driven decision making. Our Data Engineering environment spans established on-premises capabilities and an evolving cloud data platform. The team maintains and enhances the Analytics Data Mart (ADM), powered by Microsoft SQL Server and data integration workflows using Alteryx, while expanding cloud-native capabilities through the Strategy & Operati

Data Analyst Company: Boeing Defence United Kingdom Limited At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Defence UK Analytics team are an agile team based out of Bristol, delivering data warehouse, rapid prototyping in Tableau and the configuration and the deployment and uptake of Enterprise analytic tools. The team size is currently 18 and managed by a Data Analytics Manager and a Programme Manager. Business travel within the UK and overseas will be required, including occasional overnight stays. Responsibilities Due to the growth in the team, an exciting opportunity has arisen for an Business Intelligence Analyst. This position will sit within the Applied Team and be responsible for the delivery of analytics capability to the customer. Specific responsibilities will include: Development of Business Intelligence information models, dashboards, metrics and reports, utilizing standard technologies and methodologies that meet business objectives. Combining programming, SQL skills, best practices and business expertise to deliver efficient and scalable Business Intelligence solutions to improve business productivity and business outcomes. Working with stakeholders to capture requirements and deliver value. Foster a work environment that encourages business innovation and strong customer relationship management. Training

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Responsibilities: Ensure site operations, including incident management and escalation in accordance with approved Client/JLL procedures. Plan, assign and supervise planned and reactive activities utilizing the CMMS platform. To check on site repair and maintenance carried out by subcontractors to ensure work completion. Ensure the implementation of safe systems on site activities. Implement regular inspections of the facility on energy conservation, maintenance practices, utility management and risk management procedures. Co-ordinate meetings periodically with contractors to ensure that required standards are established and maintained, and develop corrective action plans when, or if performance falls below Provide training to on-site teams on equipment operational procedures, including emergency procedures and requirements. Co-ordinate and maintain the site asset database, provide updates in accordance with CMMS requirements. Prepare and provide input to the site’s monthly reporting for client. Ensure compliance with statutory regulations on fire, health and safety standards. Ensure all safety procedures, including Crisis Man

About the Team The Decision Systems team helps DoorDash teams make faster, more rigorous, and more trustworthy decisions. We build the analytical systems, statistical methods, and product experiences that power experimentation, causal inference, rollout analysis, metric interpretation, and business impact measurement across DoorDash’s three-sided marketplace. Curie is DoorDash’s experiment analysis product within Decision Systems. It sits at the center of how teams move from hypothesis to analysis to confident action, helping decision makers understand experiments, rollouts, metric movements, and marketplace impact while preserving scientific rigor, velocity, trust, and interpretability. Our work spans experimentation platforms, causal inference, variance reduction, switchback experimentation, metric systems, and AI-assisted analysis workflows. We partner closely with data scientists, engineers, product managers, and operators across DoorDash to translate advanced methods into reliable, scalable systems that improve decision quality and product velocity. Some of the work done in the team was published in articles such as: Design-Aware Variance Reduction for Switchback Experiments: A Comparative Study , Power-Optimal Covariate Adjustment for Switchback Experiments , CUPED on Steroids: Multivariate Covariate Adjustment for Switchback Experiments . About the Role We are looking for a Staff Applied Scientist to provide scientific leadership for DoorDash’s Experimentation Platform. In this role, you will define and advance the statistical, causal inference, machine learning, and AI capabilities that power high-quality decision-making across DoorDash. You will work on challenging problems at the intersection of experimentation, marketplace dynamics, machine learning, and product engineering. Your work will shape how DoorDash teams design experiments, analyze results, interpret noisy marketplace outcomes, and make faster, more trustworthy decisio

Job ID: 111270 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Responsible for influencing product roadmaps through analytics and financial and business modeling. Develop hypotheses and analytical frameworks for understanding pricing dynamics and market outcomes. Analyze collected data and extract information relevant to problems. Work closely with product leads to build efficient tools, systems, and processes to manage pricing and driver earning at scale. Develop and test quantitative models, support software, and analytical tools. Experience: Education and Experience: Master's degree or foreign equivalent in Operations Research, Analytics, or related field. 3 years of experience in job offered, analytics, or related occupation. Skills: Experience with quantitative analysis, predictive modeling, and machine learning. Experience with programming languages, analytical software, and database applications. Experience with business analytics and authoring data pipelines. Experience with optimization and programming, including C++, R, Python, and algorithms. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, col

Job ID: 111268 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context. Perform exploratory data analysis to gain a deeper understanding of the problem. Construct and fit statistical, machine learning, or optimization models. Write production modeling code; collaborate with Software Engineers to implement algorithms in production. Design and run both simulated and live traffic experiments. Analyze experimental and observational data; communicate findings; facilitate launch decisions. Experience: Education and Experience: Master's degree or foreign equivalent in Business Analytics and Information Management, Data Science, or related field. 2 years of experience in job offered, operations research, or related occupation. Skills: Experience creating metrics and analytical tools to track and monitor growth. Experience with statistics, machine learning, causal inference, data scientific forecasting, and authoring data pipelines. Experience with building and evaluating optimization and inference models, and predictive modeling. Experience with writing production quality computer code and using MATLAB, R, and Python. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is

Job ID: 111267 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Partner with Engineers, Product Managers, Product Designers, and Business Partners to frame problems, both mathematically and within the business context. Perform exploratory data analysis to gain a deeper understanding of the problem. Collaborate with Software Engineers to implement algorithms and analytics events in production. Design and run both simulated and live traffic experiments. Analyze experimental and observational data; communicate findings; facilitate launch decisions. Experience: Education and Experience: Master's degree or foreign equivalent in Physics, Data Science, or related field. 2 years of experience in job offered, operations research, or related occupation. Skills: Experience creating metrics, analytical dashboards, and tools to track and monitor growth. Experience with statistics, business forecast and estimates, and authoring data pipelines. Experience with writing production queries and experiment design and analysis. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orienta