Job Description
Transform Data Into Actionable Insights
We are looking for a highly analytical and detail-oriented Senior Data Analyst to join our growing team at Nexus Analytics. In this role, you will bridge the gap between complex data sets and business strategy, helping drive decision-making processes across the organization. You will be responsible for designing data models, creating visualizations, and presenting findings to stakeholders in a clear, impactful way.
Why Join Us?
• Work with cutting-edge technologies and modern data stacks.
• Collaborate with cross-functional teams in a fast-paced, dynamic environment.
• Competitive salary and comprehensive benefits package.
Responsibilities
- Data Collection & Cleaning: Gather, clean, and validate large datasets from various sources to ensure accuracy and integrity for analysis.
- Statistical Analysis: Perform complex statistical analyses to identify trends, patterns, and anomalies within the data.
- Dashboard Creation: Design and develop interactive dashboards using tools like Tableau or PowerBI to visualize key performance indicators (KPIs) for stakeholders.
- Reporting: Generate regular and ad-hoc reports that provide deep insights into business performance, supporting strategic planning.
- Collaboration: Partner with product managers, engineers, and business units to understand their data needs and deliver tailored analytical solutions.
- Process Improvement: Identify opportunities to automate data workflows and improve overall data infrastructure efficiency.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field. Master’s degree is a plus.
- Technical Skills: Strong proficiency in SQL for querying databases, and experience with Python or R for data manipulation.
- Visualization: Expert level experience in BI tools such as Tableau, PowerBI, or Looker.
- Experience: Minimum of 3-5 years of experience in a data analyst role.
- Soft Skills: Excellent communication skills with the ability to translate technical findings into business recommendations for non-technical audiences.
- Problem Solving: Demonstrated ability to troubleshoot complex data problems and derive logical solutions.