Data Analyst II (Remote - US)

This position is posted by Jobgether on behalf of Spark. We are currently looking for a Data Analyst II in the United States.

This is an exciting opportunity to drive meaningful impact in the Medicare brokerage space by delivering insights that shape strategic decisions across product, operations, and business teams. As a Data Analyst II, you’ll help build scalable dashboards, uncover trends through exploratory analysis, and support data-driven decision-making across the organization. You’ll work closely with stakeholders from multiple departments while collaborating with engineering teams to ensure data quality and analytics scalability. This role combines technical depth with business understanding in a fast-growing, mission-driven environment.

Accountabilities:

• Partner with stakeholders to understand analytical needs and translate them into clear technical requirements.
• Design and build interactive dashboards and self-service reports using modern BI tools.
• Conduct deep-dive exploratory analyses to surface business trends and performance opportunities.
• Document analytical methodologies, definitions, and reporting logic for cross-functional use.
• Work with data engineers and analytics engineers to ensure data pipeline quality and reliability.
• Present findings and insights to both technical and non-technical audiences through data storytelling and compelling visualizations.

• 3+ years of experience in data analysis roles, delivering actionable business intelligence.
• Advanced SQL proficiency for data extraction, transformation, and analysis.
• Hands-on experience with BI and visualization tools (e.g., Tableau, Looker, Hex).
• Familiarity with modern data infrastructure (BigQuery, Snowflake, etc.).
• Ability to work with incomplete or ambiguous datasets and turn them into usable insights.
• Excellent communication skills for clearly presenting complex data to diverse teams.
• Strong analytical thinking, attention to detail, and problem-solving abilities.
  Nice to Have:
• Experience with dbt and data modeling practices.
• Familiarity with healthcare or insurance datasets and HIPAA compliance.
• Strong organizational skills and interest in advanced techniques like fuzzy matching or time series.

• Competitive salary range: $90,000—$110,000 USD, with flexibility based on experience, geography, and equity/cash preference.
• Equity compensation packages available.
• Comprehensive health, dental, and vision insurance through Sequoia.
• Flexible work location (remote-first), with co-working options available.
• 401(k) retirement plan.
• Generous Paid Time Off and 11 paid holidays.
• Monthly remote work stipend for home office needs.
• Paid parental leave: up to 12 weeks for birthing parents, 8 weeks for non-birthing parents.
• Two-week sabbatical at 5 years of employment.
• Wellbeing perks including SpringHealth, OneMedical, PerkSpot, and SoFi.
• U.S.-based remote work only (international work not supported due to compliance).

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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