Top Hybrid Data Analysis Jobs

Leads the commercial analytics function, developing advanced analytics frameworks, performance metrics, dashboards, forecasts, and strategic insights. Partners with senior leadership and cross-functional teams to optimize sales performance, resource allocation, commercial strategy, and operational efficiency. Oversees data quality, competitive analysis, sales compensation planning, analytical tools, and direct-report performance while promoting data-driven decision-making across the organization.

Supports retail pricing strategy through advanced analytics, price-change execution, performance monitoring, and insights for merchandising divisions. Partners with pricing, technology, and merchant teams to implement enterprise pricing frameworks, optimize promotions and markdowns, identify automation opportunities, and support strategic initiatives. Leads cross-functional projects, manages risks and timelines, communicates with senior leadership, and helps achieve sales and margin objectives.

Leads home lending portfolio risk analytics, monitoring performance, identifying emerging risks, evaluating credit policies and business initiatives, and developing executive dashboards and governance reporting. Performs deep-dive analyses, automates reporting, assesses product and process changes, and communicates actionable insights to senior leaders and cross-functional risk, finance, credit policy, and business stakeholders.

Leads fraud, income, and identity verification strategies for an auto lending portfolio. Analyzes credit, fraud, and operational data to identify trends, develop recommendations, test strategies, and improve profitability while mitigating risk. Partners with Risk, Compliance, Legal, Product, Technology, and Operations teams to implement initiatives, strengthen controls, support governance, and improve customer and dealer experiences. Also leads projects, mentors staff, and ensures regulatory compliance.

Supports business analytics and data-driven projects within PwC’s Assurance practice. Responsibilities include researching business challenges, analyzing data, identifying process improvements, developing business cases, modeling processes, gathering requirements, creating functional specifications, and supporting audit compliance and project management. The intern will collaborate with stakeholders, learn from experienced professionals, and contribute actionable insights for client engagements.

Implement and monitor pricing strategies across consumer lending: translate strategy into technical specs, maintain audit trails, collaborate with engineering, validate data pipelines, build automated controls and Tableau dashboards, support risk management, and coordinate execution with internal and external partners.

Paid internship analyzing omnichannel advertising data across social, search, video, retail media, and CTV. Responsibilities include writing SQL queries, using Tableau and Google Data Studio, validating cross-platform data, creating performance reports, conducting advertising research, running basic Python scripts, and applying AI tools to uncover insights. The intern collaborates with global teams and presents a final project.

Own marketing and acquisition reporting, analytics, attribution, audience segmentation, experimentation, KPI development, and dashboarding. Build validated datasets and modular Looker models, partner with data engineers on analytics infrastructure, standardize metrics, and deliver actionable insights. The role also promotes advanced analytical techniques, supports marketing strategy, and trains stakeholders on BI best practices.

Leads quantitative and qualitative customer research, Voice of Customer synthesis, and research operations. Establishes global reporting structures, preserves metric continuity during platform transitions, builds Snowflake and SQL data flows, and develops self-service dashboards. Translates complex research into actionable recommendations for product and leadership teams while partnering with data science and cross-functional stakeholders.

An 11-week Analyst Development Internship focused on gathering and analyzing qualitative and quantitative data, identifying performance trends, solving business problems, and recommending solutions that inform decisions in the insurance industry. Interns receive analytical and technical training, work independently and collaboratively, and use tools such as Excel, SQL, Python, R, SAS, Snowflake, and Power BI.

Leads solutions analysis and technical program delivery by translating business and data requirements into feasible technical solutions. Develops data models, analyzes complex datasets, integrates platforms and systems, and provides strategic insights for business initiatives. Acts as a subject matter expert, manages ambiguity and dependencies, mentors team members, and partners with product owners, business stakeholders, operations, and software developers. Applies data analytics, visualization, AI/ML tools, and technical writing to support informed decision-making.