Senior Data Analyst

Jobless; Northern (KY); Hybrid; USD 100,000 - 120,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Life insurance

Disability coverage

401(k) with employer contribution

Generous paid time off & parental/vol休

Job summary

Phase2 is seeking a Senior Data Analyst who blends client-facing strategy with hands‑on analytics to move clients from data collection to decision‑making and AI‑augmented insights. You will work across marketing, product, UX, and engineering to design measurement strategies and surface actionable trends.

You’ll help define analytics, automation, and AI‑assisted insight generation within our practice, reporting to the Lead Data Analyst.

Qualifications

• 6+ years of experience in digital analytics or data analysis in an agency or consulting environment.
• Deep expertise with Google Analytics 4 and Google Tag Manager, along with broader experience with enterprise analytics and tag management platforms including Google Marketing Platform, Tealium iQ, Adobe Launch, or equivalent.
• Strong understanding of end‑to‑end digital measurement across websites, mobile, CRM, email, and marketing platforms.
• Experience with AI‑assisted analytics, machine learning‑supported insights, or automated reporting workflows.
• Experience collaborating with web and app development teams to configure, test, and validate analytics implementations across development, staging, and production environments.
• Strong, hands‑on experience working with raw data, including writing complex SQL queries, building or supporting data pipelines (e.g., Fivetran, Stitch, dbt), and querying data warehouses and cloud platforms such as GCP, BigQuery, Snowflake, or Databricks to power analysis beyond dashboards.
• Proven experience designing conversion tracking, funnels, goals, and event‑based measurement models.
• Experience building dashboards and reports using tools such as Looker Studio, Tableau, Power BI, or Datorama.
• Strong CRO and experimentation background, including interpreting test results and making recommendations.
• Excellent written and verbal communication skills, with the ability to translate data into clear narratives.
• Ability to manage multiple projects independently with attention to detail and accuracy.

Responsibilities

• Lead audits of client digital properties to ensure analytics, tagging, and data pipelines are correctly configured.
• Design and implement analytics measurement frameworks aligned to client business, marketing, and product strategies.
• Advise on and support event‑driven analytics, data layers, and tagging strategies across web, mobile, CRM, and marketing platforms.
• Design and build dashboards, reports, and self‑service views using BI and visualization tools.
• Troubleshoot data integrity, tracking, and pipeline issues across platforms and vendors.
• Document implementations and lead enablement sessions to establish analytics best practices.
• Lead stakeholder conversations to deeply understand business goals and translate them into measurement and insight requirements.
• Analyze qualitative and quantitative data to inform strategic recommendations across UX, content, marketing, and product.
• Develop testable hypotheses related to acquisition, engagement, conversion, retention, and experience quality.
• Recommend experimentation strategies (A/B testing, personalization, SEO testing, CRO) tied to defined KPIs.
• Connect insights across multiple data sources to tell a coherent, actionable story.
• Identify analytics workflows that can be accelerated or augmented using AI.

Skills

Analytical thinking

Client advisory

Data storytelling

Experimentation design

Project management

Tools

Looker Studio

Tableau

Power BI

Datorama

Google Analytics 4

Google Tag Manager

BigQuery

Snowflake

Databricks

Fivetran

dbt

Job description

The Role

Are you passionate about using data to solve real business problems and shape smarter digital experiences? Phase2 is looking for a Senior Data Analyst who can help our clients move from data collection to decision‑making — and increasingly, from manual analysis to AI‑augmented insight.

This role blends client‑facing strategic thinking with hands‑on technical execution. You’ll work across marketing, product, UX, and engineering teams to design measurement strategies, interpret complex data sets, and surface insights that inform both near term optimization and long term transformation.

As Phase2 evolves in AI‑native and productized services, this role will help define how analytics, automation, and machine‑assisted insight generation become embedded in our practice.

This position reports to: Lead Data Analyst

Compensation: Base annual salary of $100,000 - $120,000

What You'll Do

Technical & Analytical Execution

• Conduct audits of client digital properties to ensure analytics, tagging, and data pipelines are correctly configured.
• Design and implement analytics measurement frameworks aligned to client business, marketing, and product strategies.
• Advise on and support event‑driven analytics, data layers, and tagging strategies across web, mobile, CRM, and marketing platforms.
• Design and build dashboards, reports, and self‑service views using BI and visualization tools.
• Troubleshoot data integrity, tracking, and pipeline issues across platforms and vendors.
• Document implementations and lead enablement sessions to establish analytics best practices.

Strategic & Client Advisory

• Lead stakeholder conversations to deeply understand business goals and translate them into measurement and insight requirements.
• Analyze qualitative and quantitative data to inform strategic recommendations across UX, content, marketing, and product.
• Develop testable hypotheses related to acquisition, engagement, conversion, retention, and experience quality.
• Recommend experimentation strategies (A/B testing, personalization, SEO testing, CRO) tied to defined KPIs.
• Connect insights across multiple data sources to tell a coherent, actionable story.

AI‑Enabled Analytics & Automation

• Identify analytics workflows that can be accelerated or augmented using AI (e.g., automated insights, anomaly detection, summarization, forecasting, and trend identification).
• Leverage AI‑assisted tools to support:
• • Data exploration and pattern discovery
  • Narrative generation and executive summaries
  • Experiment analysis and insight synthesis
• Partner with Product, Data Science, and Engineering teams to pilot AI‑enabled analytics capabilities within client engagements.
• Contribute to Phase2’s evolving AI‑native delivery patterns and analytics playbooks.

Governance, Privacy & Quality

• Advise clients on data collection best practices in alignment with privacy, consent, and regulatory requirements.
• Partner with teams to ensure data quality, taxonomy consistency, and measurement governance.
• Help clients understand tradeoffs, limitations, and risks within their data and technology ecosystems.

Leadership & Growth

• Own analytics workstreams end-to-end, serving as a de‑facto workstream lead responsible for insight quality, delivery timelines, and managing client expectations from discovery through recommendation.
• Mentor junior analysts, oversee contractor work and support capability development within the Data & Insights team.
• Contribute to sales and marketing efforts through thought leadership, presentations, webinars, and proposals.
• Act as a trusted analytics advisor to clients and internal teams.

Minimum Qualifications

• 6+ years of experience in digital analytics, marketing analytics, or data analysis in an agency or consulting environment.
• Deep expertise with Google Analytics 4 and Google Tag Manager, along with broader experience with enterprise analytics and tag management platforms including Google Marketing Platform, Tealium iQ, Adobe Launch, or equivalent.
• Strong understanding of end‑to‑end digital measurement across websites, mobile, CRM, email, and marketing platforms.
• Experience with AI‑assisted analytics, machine learning‑supported insights, or automated reporting workflows.
• Experience collaborating with web and app development teams to configure, test, and validate analytics implementations across development, staging, and production environments.
• Strong, hands‑on experience working with raw data, including writing complex SQL queries, building or supporting data pipelines (e.g., Fivetran, Stitch, dbt), and querying data warehouses and cloud platforms such as GCP, BigQuery, Snowflake, or Databricks to power analysis beyond dashboards.
• Proven experience designing conversion tracking, funnels, goals, and event‑based measurement models.
• Experience building dashboards and reports using tools such as Looker Studio, Tableau, Power BI, or Datorama.
• Strong CRO and experimentation background, including interpreting test results and making recommendations.
• Excellent written and verbal communication skills, with the ability to translate data into clear narratives.
• Ability to manage multiple projects independently with attention to detail and accuracy.

Preferred Qualifications

• Experience with event‑driven or product analytics tools such as Adobe Analytics, Mixpanel, Heap, or Amplitude.
• Experience implementing data sanitization and masking solutions within CDPs (e.g., Freshpaint, Ours Privacy) to ensure HIPAA‑compliant data collection and downstream activation.
• Working knowledge of additional programming and scripting languages such as Python, JavaScript, HTML/CSS, M (Power Query), or R to support data analysis, automation, and implementation.
• Knowledge of personalization platforms (Adobe Target, Optimizely, Acquia Personalization).
• Experience with consent management platforms such as OneTrust, Osano, or Termly.
• Relevant analytics or data platform certifications (e.g., GAIQ, DAA, BigQuery, Power BI, Microsoft Power BI, cloud data platforms, or equivalent).
• Experience planning and implementing HIPAA compliant data systems.

What You’ll Get

• The chance to make a real impact, helping millions of people per year.
• To work from wherever you thrive best. We’re a remote‑first team built on trust, flexibility, and outcomes.
• A competitive compensation package that considers various factors.
• A comprehensive benefits package that includes medical, dental, vision, life insurance, disability coverage, and supplemental insurance.
• Our fun and interactive wellness program offers rewards for participation.
• A 401(k) with a 3% employer contribution–no match required and 100% vested after just 90 days.
• You’ll start with 16 paid vacation days, 4 personal days, and 1 volunteer day each year. Vacation and personal time increase with your tenure, recognizing your continued contributions.
• Up to 12 weeks of fully paid leave for birthing parents and up to 6 weeks of fully paid bonding leave, based on your tenure. This includes support for adoption and foster placement, along with the option to extend time off through additional unpaid leave.
• Inclusive fertility, adoption, and surrogacy benefits through Kindbody, along with virtual health coaching and care navigation.
• A $500 stipend to personalize and equip your home workspace for success.

What the Environment Looks Like

Physical Demands

• Frequently remain in a stationary position, often standing or sitting for prolonged periods of time.
• Occasional adjusting or moving of light objects up to 20 pounds in all directions.
• Continuous communication on live video chats, calls, and through emails and messaging platforms for the purpose of exchanging information.
• Continuous repetitive movements that may include the wrists, hands, and/or fingers.
• Travel, sometimes frequent, is expected.

Mental Demands

• Comprehension - Must continuously be able to understand direction and adhere to established procedures. Must also be able to gather information from clients and employees and synthesize this information in a meaningful way. May also be responsible for making improvements or recommendations to existing procedures.
• Organization - Must continuously be able to gather and classify information, store information learned from conversations and communications, and then be and be able to quickly recall, interpret, and explain information.