Data Analyst (Databricks)

Position Overview

The Data Analyst plays a crucial role in converting data into actionable insights that facilitate informed business decisions. This position necessitates a robust understanding of business contexts, effective stakeholder collaboration, analytical reasoning, and proficiency in data visualization to convey insights clearly.

Primary Responsibilities

Business Analysis & Insights

• Gain a thorough understanding of business operations, challenges, and policy goals.
• Collaborate with stakeholders to identify business requirements and transform them into analytical specifications.
• Examine datasets to uncover trends, opportunities, risks, and key performance indicators.
• Offer insights and recommendations that promote data-driven decision processes.

Analytics & Data Visualization

• Create, improve, and sustain dashboards for performance metrics, operational oversight, and user behavior analysis.
• Develop engaging and effective visualizations that simplify complex findings for business stakeholders.
• Utilize data storytelling techniques to communicate insights to both technical and non-technical audiences.
• Establish and monitor business metrics.

Data Preparation & Analysis

• Extract, cleanse, and analyze data utilizing SQL, Python, and Databricks.
• Ensure the accuracy and relevance of analytical outputs through data validation and interpretation.
• Work alongside data engineers to enhance data accessibility and usability for reporting needs.

Documentation & Knowledge Management

• Produce user manuals and business documentation for dashboards, reports, and analytical tools.
• Keep accurate records of reporting methodologies, metric definitions, and analytical standards.

• Assist in agile delivery initiatives, including requirements gathering, user story development, and acceptance testing.
• Investigate automation possibilities to streamline reporting and analytics processes.

Competencies & Qualifications

Technical Proficiencies

• Expertise in SQL and Python for data analysis.
• Practical experience with dashboard and visualization platforms (e.g., Databricks, Power BI).
• Familiarity with Databricks or similar analytics solutions.
• Capability to create impactful visualizations and data narratives for a variety of audiences.
• Strong skills in documentation and report writing.

Preferred Qualifications

• Knowledge of business intelligence and KPI frameworks.
• Experience with Jira, QA testing, and agile methodologies.

Interpersonal Skills

• Strong business insight and the ability to comprehend operational and policy contexts.
• Exceptional communication and stakeholder engagement abilities.
• Skill in converting technical findings into actionable business insights.
• Analytical mindset with a sense of curiosity and effective problem-solving skills.
• Meticulous attention to detail and dedication to producing high-quality results.