Business Data Analyst - Atlanta, United States - KLDiscovery

Description

We are looking for a highly skilled Business Data Analyst to join our team.

As a Business Data Analyst, you will play a crucial role in analyzing and interpreting complex data sets, providing valuable insights and recommendations to drive business growth and decision-making.

As a Business Data Analyst, you will be responsible for collecting, cleaning, and analyzing large volumes of data from various sources to identify patterns, trends, and correlations.

You will collaborate with cross-functional teams to understand business objectives and translate them into actionable data insights.

Additionally, you will be responsible for developing and maintaining data models and dashboards to visualize and communicate insights to stakeholders.

To succeed in this role, you must have a strong analytical mindset and the ability to work with complex data sets.

You should have excellent communication skills to effectively present findings and recommendations to both technical and non-technical audiences. Strong knowledge of data analysis tools and programming languages such as SQL and Python is required.

Responsibilities

Collect and cleanse large volumes of data from multiple sources

Perform in-depth data analysis to identify patterns, trends, and correlations

Develop and maintain data models and dashboards to visualize insights

Collaborate with cross-functional teams to understand business objectives

Translate business questions into data analysis projects

Present findings and recommendations to stakeholders in a clear and concise manner

Continuously monitor and evaluate data quality and integrity

Requirements

Bachelor's degree in Business Analytics, Statistics, or a related field

Proven experience as a Business Data Analyst or a similar role

Strong analytical skills and attention to detail

Proficient in SQL and Python for data analysis

Experience with data visualization tools such as Tableau or Power BI

Excellent communication skills to present findings and recommendations

Ability to work in a fast-paced, collaborative environment

Understanding of statistical analysis and data modeling techniques
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