
Data Analyst (SQL, Python and Cloud)
Are you a highly skilled and analytical individual with a passion for data? Are you looking for a challenging and rewarding career opportunity? Look no further! TransUnion is seeking a Data Analyst with expertise in SQL, Python, and Cloud technologies to join our dynamic team. In this role, you will have the opportunity to utilize your data analysis skills to drive business decisions and provide valuable insights for our clients. If you are a self-motivated, detail-oriented, and team-oriented individual, we want you on our team. Join us at TransUnion and be a part of shaping the future of data analytics.
- Conduct data analysis using SQL, Python, and Cloud technologies to support business decisions and provide insights for clients.
- Collaborate with cross-functional teams to understand business needs and develop data solutions.
- Develop and maintain data models and databases to ensure accurate and efficient data management.
- Identify trends and patterns in large data sets and communicate findings to stakeholders.
- Proactively identify opportunities to improve data quality and implement solutions.
- Communicate complex data analysis and findings to non-technical stakeholders in a clear and concise manner.
- Stay up-to-date with industry trends and advancements in data analytics and technology.
- Adhere to data governance policies and procedures to maintain data integrity and security.
- Participate in team meetings and contribute to the overall success of the data analytics team.
- Continuously seek ways to improve data processes and suggest new ideas for data analysis and reporting.
- Collaborate with other data analysts to share knowledge, best practices, and learn new skills.
- Complete projects and tasks within designated timelines and report progress to management.
- Demonstrate a high level of attention to detail and accuracy in all data analysis and reporting.
- Act as a subject matter expert in data analytics and provide training and support to team members as needed.
Proficiency In Sql: A Strong Understanding And Experience In Writing Complex Sql Queries Is Essential For A Data Analyst At Transunion. The Ability To Extract, Manipulate, And Analyze Large Datasets Efficiently Using Sql Is Crucial For Making Data-Driven Decisions.
Knowledge Of Python: In Addition To Sql, Proficiency In Python Is Also A Key Requirement For This Role. A Data Analyst At Transunion Should Be Able To Use Python For Data Manipulation, Cleansing, And Analysis, As Well As For Building Predictive Models.
Familiarity With Cloud Technologies: As Transunion Utilizes Cloud-Based Platforms For Data Storage And Processing, A Data Analyst Should Have Experience Working With Cloud Technologies Such As Aws, Azure, Or Google Cloud. Knowledge Of Cloud-Based Databases And Tools Is Also Desired.
Analytical Skills: The Ability To Think Critically And Analyze Data To Identify Trends, Patterns, And Insights Is A Crucial Skill For A Data Analyst At Transunion. This Includes The Ability To Use Statistical Methods And Data Visualization Techniques To Communicate Findings Effectively.
Problem-Solving Skills: A Data Analyst At Transunion Should Possess Strong Problem-Solving Skills To Tackle Complex Business Problems And Provide Data-Driven Solutions. This Involves The Ability To Understand Business Requirements, Identify Data Sources, And Develop Innovative Solutions Using Sql And Python.
Data Analysis
Database Management
Machine Learning
Data Manipulation
Data Visualization
Cloud Computing
Data Mining
Statistical modeling
Python programming
SQL querying
Etl (Extract, Transform,
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
Interpersonal Skills
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Analyst (SQL, Python and Cloud) is between $70,000-$120,000 per year. This can vary depending on factors such as location, experience, and company size.
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TransUnion began as a credit reporting agency and now offers multiple financial services and solutions for businesses, governments and individuals. Using data collected from millions of consumers around the world, the company provides deep information that helps consumers, companies and organizations make better financial decisions.

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