What are the responsibilities and job description for the Data Conversion Analyst position at Information Consulting Services?
Contract Details
- Work Mode: Remote with occasional onsite meetings as needed
- Location: Dover, DE
- Schedule: Approximately 37 hours/week, day shift (standard business hours ending around 4:30 PM)
- Duration: 6 months from start
About the Opportunity
This role leads end-to-end analytics that drive customer conversion, funnel optimization, and revenue growth. You will collaborate closely with DBAs, ETL developers, and business stakeholders to design conversion-focused data models, ensure data quality, and turn insights into actionable recommendations.
Key Responsibilities
- Design and maintain conversion-focused data models supporting analytics, experimentation, and attribution.
- Implement data quality checks, monitoring, and documentation across environments.
- Analyze customer journeys, funnel performance, and behavioral patterns to identify conversion bottlenecks.
- Conduct A/B test analysis and partner with product teams to evaluate experiment impact.
- Translate complex data into clear recommendations that influence product and business strategy.
- Define KPIs and measurement frameworks with project, business, and technical teams.
- Present insights to leadership and drive alignment on optimization initiatives.
- Identify data health and conversion risks.
- Write/review SQL queries and collaborate with ETL developers and DBAs.
Required Qualifications
- 4 years in analytics, data engineering, or BI roles with a focus on conversion, data health, or data cleanup.
- Strong understanding of data modeling.
- Hands-on experience with BI tools (Looker, Tableau, Power BI, Mode, etc.).
- Experience collaborating with ETL developers and DBAs.
- General understanding of SQL (no specific dialect required).
- Ability to turn data into actionable insights and communicate with non-technical stakeholders.
- Strong presentation and communication skills.
Preferred Qualifications
- Familiarity with Department of Labor data models, processes, and regulations.
- Experience with public-sector data.
- Experience with system integration and data validation modeling.
Work Environment
- Remote-first with occasional onsite meetings/events in Delaware; travel costs are not reimbursed.
- Security screening may be required.
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