Senior Data Insights Specialist

4 days ago


Edinburgh, Edinburgh, United Kingdom Luxoft Full time

Luxoft is a global innovation technology company committed to delivering high-quality, sustainable solutions to its clients across various industries.

The estimated annual salary for this role is around $120,000-$150,000, depending on location and experience.

Job Description:

We are seeking a skilled Senior Data Insights Specialist to join our team in optimizing data processes and building efficient pipelines. As a hybrid professional with expertise in both data analytics (70%) and business analysis (30%), you will play a crucial role in translating data insights into actionable business strategies for stakeholders.

Data Analysis and Engineering (70%):
  1. ETL Development: Design, develop, and optimize ETL processes to ensure smooth data flow from source to target systems, leveraging tools like SQL, Informatica, and Spark.
  2. Data Profiling: Perform comprehensive data profiling to assess data quality, structure, and integrity, ensuring that the extracted data meets business needs.
  3. Real-time Data Pipelines: Develop and maintain real-time data integration pipelines using REST APIs, ensuring real-time data availability for key business operations.
  4. Source to Target Mapping: Work closely with the data engineering team to map data from various sources to target systems, ensuring accurate data transformations and alignment with business logic.
Business Analysis (30%):
  1. Stakeholder Engagement: Collaborate with business stakeholders to understand their requirements, translate complex data insights into clear, actionable business language, and present meaningful reports.
  2. JIRA Management: Utilize JIRA for project tracking and documentation of business requirements, ensuring efficient communication and tracking of tasks, issues, and enhancements.
  3. Data-Driven Decision Making: Use data insights to guide business decisions, helping stakeholders to make informed choices backed by accurate data analysis.
Required Skills and Qualifications:
  • Mix of data analyst and business analyst skills (70% DA, 30% BA)
  • Experience in ETL and data engineering, including SQL, Informatica, Spark, and REST APIs
  • Ability to translate data into business language to present to stakeholders
  • Familiarity with Agile or other project management methodologies (nice to have)


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