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Sr. Data Analyst at Earthlinktele

Baghdad, Baghdad Governorate, Iraq -

Full Time

Start Date

Immediate

Expiry Date

28 Apr, 26

Salary

0.0

Posted On

28 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, SQL, Python, R, ETL, Cloud Platforms, Data Warehousing, Business Intelligence, Statistical Techniques, Machine Learning, Predictive Modeling, Dashboard Creation, Data Governance, Version Control, Collaboration, Mentoring

Industry

Telecommunications

Description

To lead data-driven initiatives by transforming raw data into actionable insights that drive strategic decision-making. The Senior Data Analyst will be responsible for advanced analytics, dashboard creation, predictive modeling, and mentoring junior analysts, while collaborating with cross-functional teams to support business growth and operational efficiency Data Governance & Quality: Knowledge of data validation, profiling, anomaly detection, and handling missing/inconsistent data. · Familiarity with DAX (Power BI) or calculated fields (Tableau) for custom metrics. · Data Analysis & Querying: SQL (Advanced): Ability to write complex queries, optimize performance, and work with large datasets. · Version Control & Collaboration: Familiarity with Git/GitHub or other version control tools to manage code and collaborate on analytics projects. · Programming Languages: Python (preferred) or R: For data cleaning, manipulation (Pandas/Numpy), and basic machine learning or statistical modelling. · Data Manipulation & ETL: Experience working with ETL tools (e.g., Alteryx, Apache Airflow, Talend, or custom Python/SQL ETL scripts). · Cloud Platforms (Nice to Have): Experience with Azure, AWS, or GCP for data storage, analytics services, or serverless functions. · Data Warehousing: Working knowledge of data warehouses like Snowflake, BigQuery, Amazon Redshift, or ClickHouse. · Business Intelligence Tools: Power BI, Tableau. · Statistical & Analytical Techniques: Regression analysis, clustering, time-series forecasting hypothesis testing, A/B testing. · Machine Learning & AI Development: Hands-on experience in building predictive models, classification, regression, clustering, and recommendation systems. Bachelor degree in Software Engineering or any related engineering field. Experience (+3) Years as a Software Development and Data Analyst

Responsibilities

The Senior Data Analyst will lead data-driven initiatives by transforming raw data into actionable insights. Responsibilities include advanced analytics, dashboard creation, predictive modeling, and mentoring junior analysts.