Data Analyst V

About Us

At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. For nearly two decades, we ve been challenging the status quo of the consulting industry serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.

Responsibilities

• Deliver deep audience analysis, including segmentation, lifecycle and funnel analysis, growth and churn signals, and revenue and adoption attribution.
• Size revenue opportunities and build the business case for which audiences to prioritize.
• Define how a business question should be answered, including what to measure, the methodology to use, and which assumptions apply.
• Pull, clean, and analyze large datasets (millions of records) using advanced SQL. Reconcile data across sources and root-cause discrepancies before they reach reporting.
• Partner with Data Scientists and Data Engineers to define business logic, data models, and pipelines, and validate what is built.
• Build automated reporting and self-service dashboards for recurring business needs.
• Translate audience definitions into campaign-ready segments and signals in partnership with campaign and lifecycle owners.
• Present findings and recommendations to senior leadership and cross-functional partners.
• Participate in OP monthly team meetings and participate in team-building efforts.
• Contribute to OP technical discussions, peer reviews, etc.
• Contribute content and collaborate via the OP-Wiki/Knowledge Base.
• Provide status reports to OP Account Management as requested.

Minimum Qualifications

• Minimum 7 years in marketing analytics, data science, or business analytics, and a Bachelor's degree in a quantitative, technical, or business field, or equivalent.
• Expert-level SQL, including complex queries, CTEs, window functions, and query optimization across datasets of millions of records.
• Proven track record of owning audience or customer analysis end-to-end: segmentation, revenue opportunity sizing, and quantitative business cases, with assumptions and limitations clearly articulated.
• Demonstrated ability to partner with Data Scientists and Data Engineers to define business logic and build data pipelines, manage complex multi-source data across CRM, product, engagement, and third-party sources, and stand up automated reporting and dashboards (e.g., Tableau).
• Background in B2B marketing, sales, or customer analytics, with a history of presenting to and influencing senior leadership on business or product decisions, and communication that lands with both technical and non-technical audiences.

Preferred Qualifications

• Hands-on pipeline building with dbt, Airflow, or equivalent orchestration tools.
• Familiarity with Hive and Unidash, or comparable large-scale query and dashboarding environments.
• Working knowledge of a customer data platform, preferably Salesforce Data Cloud, including segment creation, Calculated Insights, and activation.
• Exposure to Salesforce Marketing Cloud and marketing automation workflows.
• Statistical modeling across propensity, LTV, attribution, forecasting, and experiment design.
• Fluency with CRM and account-level data models.
• Advanced Google Sheets/Excel, including pivot tables, lookups, and complex formulas.
• Basic Python for automation and API utilization.

Benefits

• 401(k)
• Dental Insurance
• Health insurance
• Vision insurance