Data Analyst / Analytics Engineer

Data Analyst / Analytics Engineer

Our client, a multinational telecommunications technology company, has an urgent need for Data Analyst / Analytics Engineer to help transform complex, disconnected data into trusted business insights and scalable data solutions.

Key Responsibilities:

- Analyze and integrate data across multiple applications, source systems, and business domains.
- Design, build, and maintain scalable data pipelines and transformation logic to support analytics and reporting needs.
- Develop advanced SQL queries, analytical models, and reconciliation logic to investigate, validate, and unify complex datasets.
- Use Databricks to engineer, transform, optimize, and operationalize large-scale datasets for analytical consumption.
- Build curated, business-ready datasets that serve as trusted sources for analysis, executive reporting, and self-service consumption.
- Develop and maintain Power BI dashboards and reports that translate complex data into clear, actionable insights for business and executive stakeholders.
- Own analytics solutions end to end, from raw data ingestion and transformation through semantic logic, reporting, visualization, and insight generation.
- Transform fragmented and complex data into clear, business-relevant stories and recommendations.
- Identify relationships between customers, products, locations, revenue, operational activity, and business performance.
- Partner with business stakeholders to understand objectives, define KPIs and metrics, and solve challenging business problems.
- Investigate data quality issues, perform root-cause analysis, and implement sustainable fixes in partnership with upstream and downstream teams.
- Ensure data lineage, business logic, and transformation rules are documented, scalable, and maintainable.
- Improve performance, reliability, and usability of analytical workflows using modern engineering and BI best practices.
- Continuously expand business, source system, platform, and reporting knowledge to accelerate problem-solving and improve analytical effectiveness.

If you would like to learn more, please reach out to Elite Technical.

Required Skills

Required Skills:

- Strong SQL development and data analysis experience.
- Strong hands-on experience with Databricks for large-scale data processing, transformation, and analytics.
- Experience designing and maintaining data pipelines, transformation workflows, and curated analytical datasets.
- Strong experience with Power BI (PBI) for dashboard development, data modeling, visualization, and business reporting.
- Strong understanding of data engineering concepts, including data lineage, data quality, transformation logic, and scalable data modeling.
- Experience working with large and complex datasets across multiple systems.
- Strong problem-solving and analytical skills.
- Ability to investigate and reconcile data across multiple platforms and source systems.
- Experience supporting end-to-end analytics, from raw data ingestion to reporting, dashboarding, and insight generation.
- Excellent communication and stakeholder management skills.
- Ability to translate business questions into technical, analytical, and reporting solutions.

Preferred:

- Experience with Snowflake, Python, Spark, Terraform, or enterprise data warehouse environments.
- Experience with modern cloud-based analytics platforms and data engineering frameworks.
- Knowledge of telecommunications, customer, revenue, operational, or financial data domains.
- Experience working with cross-functional teams in a fast-paced environment.
- Familiarity with KPI governance, executive reporting, and semantic layer design.

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