Top Analytics Jobs in Columbus, OH

Leads an analytics team supporting Home Lending Operations by framing business problems, delivering analysis, building reporting, defining data requirements, and advising senior stakeholders. Develops AI and machine learning use cases to optimize operations and customer experiences, establishes analytics quality standards, supports experimentation and product measurement, and partners cross-functionally with Operations, Product, Technology, Finance, Strategy, Business Intelligence, and Modeling teams.

Develop advanced analytics, dashboards, and reporting solutions that monitor business controls, adherence, exceptions, and outcomes. Integrate and reconcile data, validate inputs, detect anomalies, and communicate insights to stakeholders and management. Partner cross-functionally to define goals, improve controls and processes, and deliver measurable business results using analytical methods, visualization, and data platforms.

Leads quantitative analytics initiatives that transform complex data into actionable insights and scalable, governed solutions. Responsibilities include stakeholder partnership, self-service analytics development, customer journey analysis, AI and automation application, executive presentations, production reporting support, regulatory compliance, process improvement, and mentoring junior analysts.

Leads marketing analytics for small-business acquisition campaigns, including opportunity sizing, experimentation, targeting, financial measurement, incrementality, profitability, and ROI analysis. Partners with Marketing, Finance, Modeling, Data, and delivery teams to translate complex data into actionable investment decisions. Builds analytical frameworks, reporting assets, data requirements, and measurement controls while using tools such as Snowflake and analytics languages to improve scalability, quality, and auditability.

Own Eve’s go-to-market data models and semantic layer for governed metrics including pipeline, conversion, CAC, win rate, ARR, and bookings. Establish certification frameworks, modeling standards, documentation, alerting, and analytical application patterns across the organization. Partner with Sales, Marketing, Customer Success, and RevOps stakeholders, resolve conflicting metric definitions, enable AI-grounded data tools, review contributions, and mentor analytics engineers.

Analyze and optimize drug pricing using data-driven models, dashboards, reports, and strategic frameworks. Partner with Sales, Operations, Marketing, Finance, Product, pharmacy partners, and data teams to identify opportunities, define success metrics, improve reporting, and balance pharmacy economics with patient affordability. Serve as a trusted analytical advisor and support backend data development and query optimization.

Own deposit product performance reporting and ad hoc analysis, building SQL queries, dashboards, KPIs, and risk indicators. Partner with stakeholders to identify trends, risks, and growth opportunities; automate reporting; troubleshoot production environments; and deliver actionable recommendations. The role requires advanced SQL and Python, cloud data platform experience, Tableau, generative AI, strong communication, and stakeholder management.

Own the analytics lifecycle from complex raw data through executive-ready insights. Design experiments, analyze performance drivers, build scalable data pipelines and analytical frameworks, and communicate findings to marketing, product, and technology stakeholders. The role supports customer acquisition, owned media optimization, repeatable reporting, and roadmap decisions through secure, maintainable SQL and Python or R solutions.

Evaluate Business Banking deposit and cash management products using data-driven analysis. Develop pricing strategies, analyze small-business banking behavior, create dashboards and reports, build data assets, automate processes, and provide insights for product development. Collaborate with Product, Design, and Technology teams, participate in senior product reviews, and present recommendations to business leaders.

Supports cross-channel marketing attribution and influence modeling by documenting data sources, defining business rules, mapping and normalizing interaction data, testing reporting prototypes, and recommending implementation steps. The intern also assists with AWS marketing data organization, segmentation research, data hygiene, process documentation, and stakeholder communications. The role requires analytical thinking, thorough documentation, clear communication, and collaboration across marketing and technical teams.

Leads enterprise data governance strategy, transformation, operating model modernization, accountability, and executive engagement. Partners with senior stakeholders to improve data trust, accessibility, regulatory alignment, risk management, analytics, AI readiness, and business outcomes. Represents the Data Office in strategic and regulatory forums, establishes roadmaps and performance measures, resolves cross-functional data challenges, and drives organizational change without direct authority. The role focuses on governance and transformation rather than engineering, coding, analytics delivery, or technical administration.

Leads a client-facing healthcare analytics team that designs and maintains prior authorization decision automation programs. Consults PaaS clients, develops strategic roadmaps, translates requirements into technical blueprints, analyzes authorization and claims data, and builds KPI reports using visualization tools. Manages direct reports, improves analytics processes and AI tooling, partners with product and engineering teams, and ensures automation outcomes and client KPIs are achieved.

Designs and maintains scalable data infrastructure, ETL/ELT pipelines, canonical datasets, and AI context layers. The role improves data quality and alignment across sales and finance systems, investigates data inconsistencies, leads requirements through UAT and implementation, supports analytics self-service, and partners with cross-functional teams to deliver process improvements and reliable business data.

Establishes and improves data governance controls, risk assessments, and control documentation across the firm. Partners with Chief Data Office stakeholders, lines of business, control teams, and leadership to identify risks, remediate gaps, maintain regulatory alignment, and improve data quality, governance, reporting, and control consistency. Serves as a subject matter expert on data governance policies, standards, processes, and controls within the CORE platform.

Analyze business data, uncover operational improvement opportunities, and develop automation and self-service solutions. The role partners with stakeholders and subject matter experts, performs ad hoc analysis, communicates actionable insights, and leads simplification projects. It requires experience with analytics and automation tools including Alteryx, Tableau, SAS, SQL, Python, Snowflake, AWS, APIs, and AI/ML concepts. This is an onsite role five days per week and does not offer visa sponsorship.

Own Hometap’s product and marketing event-data ecosystem, including taxonomy, tracking plans, governance, Segment Protocols, schema validation, and source management. Partner with marketing, product, and engineering to define instrumentation and event specifications. Build monitoring for schema conformance, event volume, and property completeness, while documenting standards and managing event review and deprecation processes.

Leads an eight-person analytics engineering team and sets strategy for trusted semantic models, governed data, enterprise BI, AI-powered data access, and production data applications. Oversees data modeling, evaluation datasets, telemetry, LLM routing, governance, security, and self-service capabilities. Partners cross-functionally to establish engineering standards, roadmaps, and measurable business impact while hiring, coaching, and developing team members.

Leads marketing data and analytics initiatives that improve audience targeting, campaign execution, measurement, and operational reliability. Translates business objectives into technical requirements, designs data and audience management approaches, develops quality monitoring and reporting, manages issue resolution, and partners with Product and Technology on platform enhancements. The role also identifies responsible AI applications, establishes governance and controls, and supports measurable, repeatable delivery across digital marketing channels.

Leads organization-wide business intelligence, data analysis, marketing analytics, BI platform strategy, semantic modeling, governance, AI-enabled reporting, and analytics delivery. Manages BI engineers and guides analysts while partnering with executives and department leaders. Owns dashboards, KPI definitions, data quality, release management, self-service adoption, market expansion analytics, enterprise systems reporting, and predictive model integration. Remains hands-on with SQL, dbt models, dashboards, and business analysis.

Analyzes workforce, financial, and resource data for the Ohio Army National Guard. Develops predictive, optimization, and statistical models; builds workforce and talent-management dashboards; validates models; prepares analytical reports and leadership briefings; and recommends staffing, funding, and resource-allocation improvements. The role requires extensive federal budget, personnel readiness, National Guard systems, regulatory, SQL, programming, and advanced Excel expertise.

Build Deepgram’s governed decision layer above warehouse gold tables. Responsibilities include modeling cross-system entities, owning semantic and metrics definitions, creating agent-facing data tools and MCP surfaces, implementing data quality assertions and reconciliation checks, evaluating AI agent accuracy, and answering business questions while leaving reusable models behind. The role requires production-grade SQL and Python, semantic-layer ownership, strong data modeling judgment, AI-native workflows, clear writing, and comfort building infrastructure from scratch.

Lead executive and regulatory reporting by synthesizing data from multiple systems, analyzing complaints and business trends, and translating findings into actionable insights. Build trusted analytics products, oversee reporting controls and documentation, support ad hoc analyses, and drive process improvement and automation. Collaborate with partners to identify complaint root causes, manage data changes, and present insights to senior leaders and regulators.

Lead financial reporting delivery and data pipeline operations while improving data controls, quality, lineage, audit readiness, and regulatory compliance. Automate manual workflows using Alteryx, Python, and SAS; resolve production issues; partner with Technology on data models, testing, and enhancements; and analyze datasets for stakeholder reporting. Contribute to metadata, data dictionaries, responsible AI, and scalable data modernization initiatives.

Lead and manage the control environment for Data Privacy and Data Governance initiatives across CDAO. Conduct process reviews, identify risks, design and implement controls, support audits and regulatory exams, partner with legal/compliance/audit and firmwide control teams, and manage a high-performing team to sustain data governance, data privacy, and operational risk practices.

Designs and delivers data-driven audience, targeting, and measurement solutions for digital marketing campaigns. Translates business goals into technical requirements, improves data quality and reporting, standardizes audience documentation, and manages initiative execution, monitoring, issue triage, and alerts. Partners with Marketing, Product, and Technology on platform enhancements while identifying responsible artificial intelligence applications with human oversight, governance, explainability, and measurable outcomes.