DATA METRICS DEVELOPER

Role:Data Metrics Developer

Location: Tampa, FL (3 days onsite - Hybrid) Duration: 12 Months

MUST HAVE EXP WITH COMPLEX SQL QUERIEIS / TALEND / PYTHON / ANGULAR / DATA MODELING TECHNIQUES. Data Metrics Developer

Core Skills:

1. SQL: Proficiency in writing complex SQL queries to extract and manipulate data from databases (e.g., MySQL, PostgreSQL, SQL Server).

2. Data Analysis and Visualization Tools: Advanced experience with tools such as Excel (including advanced functions like Index/Match, PivotTables), Tableau, Qlik Sense and/or QlikView (preferable Qlik Sense).

3. Programming Languages: Familiarity with scripting languages like Python and Angular for data manipulation, automation tasks and UI creation.

4. ETL (Extract, Transform, Load): Understanding of ETL processes and experience in tools like Talend (e.g., Informatica, SSIS) to prepare data for reporting.

5. Data Warehousing Concepts: Knowledge of data warehousing principles and methodologies.

6. Dashboard Design: Experience in design of rapid dashboard prototypes. Ability to design intuitive and insightful dashboards that effectively communicate data trends and insights.

7. Data Modeling: Understanding of data modeling techniques and best practices.

8. Version Control: Familiarity with Git or similar version control systems for managing report development.

9. Forecasting: Experience in analysis of future trends and forecasting.

Soft Skills:

1. Analytical Thinking: Ability to analyze complex data sets and identify trends or anomalies.

2. Attention to Detail: Ensuring accuracy and completeness of reports and data visualizations.

3. Communication: Clear communication of data insights to stakeholders, both verbally and in writing.

4. Problem-Solving: Ability to troubleshoot data issues and optimize report performance.

5. Time Management: Prioritizing tasks and meeting reporting deadlines.

Additional Skills:

1. Business Acumen: Understanding of business processes and requirements to tailor reports to stakeholders' needs.

2. Data Governance: Knowledge of data governance principles and compliance requirements.

3. Machine Learning: Basic understanding to integrate predictive analytics into reports if needed.

4. Cloud Services: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for managing and analyzing large datasets.

Education and Experience:

• Degree: Typically in Computer Science, Data Science, Statistics, or a related field.

• Experience: Hands on 6-10 years of relevant experience in data analysis, reporting, and visualization roles, with proficiency in the above-mentioned tools and technologies. Experience in building best in class visualizations and working with multiple dimensions and measures. Experience in financial industry is preferable

Thanks & Regards, Ramyasree US IT RECRUITER Thought wave Software and Solutions 314 N. Lake St, Suite 6, Aurora IL 60506 Desk: 6302164696 Email:ramyasree@thoughtwavesoft.com LinkedIn: https://www.linkedin.com/in/ramya-sree-kolla-519839221/

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