Business Data Analyst

Business Data Analyst (BA with Advanced SQL)

US/Remote

68 Yrs Exp only

Job Description:

We are looking for a talented and driven Data Analyst with 35 years of experience who has advanced SQL skills and beginnerlevel Python proficiency to join our team. This role requires a candidate who can not only manipulate and analyze data but also work closely with the business to understand their needs and translate them into actionable technical solutions. The ideal candidate should be capable of performing data wrangling generating insights and presenting findings in a clear and concise manner to nontechnical stakeholders.

### Key Responsibilities:

Data Analysis & Reporting:

Write and optimize complex SQL queries to extract transform and analyze large datasets from multiple sources.

Use Python to perform basic data wrangling preprocessing and adhoc analysis.

Generate business insights and actionable reports using data visualization tools or SQLbased reports.

Build and maintain dashboards and adhoc reports to meet the evolving needs of the business.

Data Wrangling & Processing:

Use Python scripts for automating repetitive tasks handling datasets and performing basic data analysis.

Clean merge and manipulate datasets to prepare them for further analysis or reporting.

Stakeholder Collaboration:

Act as a liaison between business and technical teams gathering requirements from nontechnical stakeholders and translating them into technical specifications.

Work with crossfunctional teams (e.g. product managers marketing finance) to understand business problems offer insights and suggest datadriven solutions.

Present complex data findings in a simple understandable manner to business users and management.

Technical Documentation:

Create and maintain clear documentation of data structures processes and reports to ensure that stakeholders can understand and use data effectively.

Ensure consistent accurate and uptodate documentation of all reporting processes.

Data Integrity & Quality:

Maintain a high level of data integrity and data quality ensuring all analyses and reports are reliable and accurate.

Identify and resolve data quality issues by working with other teams and improving data governance practices.

### Required Skills & Experience:

35 years of experience in a datarelated role (e.g. Data Analyst Business Intelligence Analyst or Data Engineer).

Advanced SQL skills: Capable of writing complex queries optimizing query performance and working with large datasets from relational databases (e.g. MySQL PostgreSQL SQL Server).

Beginnerlevel Python proficiency: Comfortable using Python for basic data wrangling such as cleaning transforming and analyzing datasets.

Experience working with data visualization tools (e.g. Power BI Tableau) or the ability to generate reports directly from SQL.

Proven experience working with business stakeholders to gather requirements and translate them into technical solutions.

Strong analytical and problemsolving skills with a keen eye for detail and data accuracy.

Excellent communication skills both verbal and written with the ability to present datadriven insights clearly to nontechnical audiences.

Ability to work independently prioritize tasks and manage multiple projects in a fastpac