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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst

Nexus Analytics
San Francisco
Salary Estimate
USD 85.000 – USD 120.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are looking for a Senior Data Analyst to join our elite analytics team at Nexus Analytics. In this role, you will be the bridge between our raw data and strategic decision-making, transforming complex datasets into actionable insights that drive business growth. If you are passionate about uncovering trends and have a knack for storytelling through data, we want to hear from you.

Why Join Us?

  • Competitive salary and equity package.
  • Flexible remote-first policy with a vibrant SF office hub.
  • Continuous learning and development opportunities.

The Role:

You will be responsible for the end-to-end data analysis process, from data mining and cleaning to the development of predictive models and executive dashboards. You will work closely with cross-functional teams to solve business problems and optimize performance.

Responsibilities

  • Data Mining & Cleaning: Gather, clean, and validate large datasets to ensure high data quality for analysis.
  • Dashboard Development: Design and maintain interactive dashboards using Tableau and Power BI to visualize key performance indicators (KPIs).
  • Statistical Modeling: Develop statistical models and algorithms to forecast trends and support strategic planning.
  • SQL Proficiency: Write complex SQL queries to extract, manipulate, and aggregate data from various databases.
  • Stakeholder Communication: Translate complex data findings into clear, concise, and compelling reports for non-technical stakeholders.
  • Process Improvement: Identify gaps in current data processes and recommend solutions to enhance data infrastructure.

Qualifications

  • Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
  • Experience: 3+ years of professional experience in data analysis or business intelligence.
  • Technical Skills: Strong proficiency in SQL (PostgreSQL, MySQL) and Python (Pandas, NumPy) is required.
  • Tools: Expert knowledge of BI tools such as Tableau or PowerBI.
  • Soft Skills: Excellent problem-solving abilities and strong verbal and written communication skills.
  • Domain Knowledge: Experience in the Fintech or SaaS industry is highly preferred.

Required Skills

SQL Python Tableau Power BI Statistics Data Mining Data Visualization Excel Statistical Modeling AWS R

Ready to Take on This Challenge?

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