Job Description

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

We are seeking a skilled Data Analyst to help transform complex data into actionable insights that drive business decisions across a fast-growing enterprise platform. This role offers the opportunity to work with both technical and non-technical teams, building analytics solutions that improve operational efficiency and strategy. You will analyze trends, design dashboards, and create robust data models to support decision-making across multiple functions. The ideal candidate thrives in an environment that values curiosity, precision, and clear communication, and is excited to influence outcomes through data-driven recommendations. You will play a key role in shaping the analytics capabilities of the organization while collaborating across product, operations, and technology teams.

Accountabilities

• Partner with cross-functional teams to design and implement analytics solutions.
• Analyze complex datasets to uncover trends, drivers, and growth opportunities.
• Build, manage, and maintain dashboards and visualizations to communicate insights effectively.
• Advocate for analytics best practices and promote data-driven decision-making across teams.
• Translate business needs into data requirements, ensuring clarity and actionable outcomes.
• Develop and maintain robust data pipelines, models, and ETL processes to support analytics initiatives.
• Collaborate with stakeholders to identify challenges, pain points, and areas for operational improvement.

Requirements

• 5+ years of experience in data analytics or related fields.
• Strong analytical and problem-solving skills with keen attention to detail.
• Experience with databases, ETL pipelines, and data modeling tools (e.g., DBT).
• Proficiency with BI tools such as Tableau, Power BI, or Qlik.
• Strong programming skills in SQL, Python, R, JavaScript, or ETL frameworks.
• Experience with source control systems (e.g., Git, Azure DevOps).
• Technical knowledge of relational and non-relational databases.
• Excellent written, verbal, and presentation skills, with the ability to communicate complex insights clearly.

Nice to Haves:

• Experience with machine learning or predictive analytics.
• Domain experience in food service, retail operations, or operations research.
• Familiarity with time series data or user-driven datasets.

Benefits

• Competitive salary and flexible PTO.
• Paid company holidays and yearly team off-sites.
• Medical, dental, and vision coverage with FSA, HSA, and HRA options.
• Basic and voluntary life insurance, wellness benefits, and commuter perks.
• 401(k) plan with employer match.
• Paid parental leave and fitness reimbursement.
• Learning and development funds, mentoring, and professional growth opportunities.
• Collaborative, mission-driven environment with opportunities to make a measurable impact.
• Fun team events and a diverse, inclusive company culture.

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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