Senior data analyst & bi engineer
Summary
Performs deep-dive data analysis, designs data models and pipelines, and creates reports using SQL, Python/R, Power BI, and enterprise databases like DB2, Oracle, Netezza, and SQL Server. Supports AI/ML initiatives and collaborates with stakeholders to translate business needs into technical solutions.
We are looking for an experienced and technically versatile Data Analyst who excels in data interpretation, business insight generation, and technical development. This role requires a deep understanding of data architecture, system design, and AI concepts, combined with the ability to translate complex data into actionable business intelligence. The ideal candidate is self-driven, highly analytical, and comfortable working across multiple disciplines and technologies.
Key Responsibilities
Perform deep-dive analysis across diverse datasets to uncover trends, anomalies, and business opportunities.
Interpret business and project requirements to design meaningful, actionable data solutions.
Respond to and manage
multiple ad hoc reporting requests , ensuring clarity, accuracy, and relevance. Understand
end-to-end data flows , from source systems to reporting layers. Design and maintain
data models
that support scalable analytics and reporting. Collaborate with stakeholders to
translate business needs into technical specifications
and reporting frameworks. Develop and optimize data pipelines and integrations using modern development practices. Work with databases such as
IBM DB2, Oracle, Netezza (NZ), and Microsoft SQL Server
to extract, transform, and analyse data. Support AI/ML initiatives by preparing data and contributing to model development and deployment. Manage own workload and priorities effectively, delivering high-quality outputs independently. Document findings, methodologies, and data logic clearly for both technical and non-technical audiences. Utilize
advanced MS Excel skills
for data manipulation, analysis, and reporting. Leverage
Power BI
for dashboard creation, data visualization, and stakeholder reporting. Required Skills & Experience 8+ years
of experience in data analytics, software development, and systems architecture. Strong proficiency in
SQL, Python, and/or R. Expertise in enterprise databases:
DB2, Oracle, Netezza (NZ), SQL Server. Solid understanding of
data modelling ,
ETL processes , and
system design principles. Experience with
cloud platforms
(e.g., Azure, AWS, GCP). Familiarity with
AI/ML concepts , model lifecycle, and data readiness. Proven ability to work independently and manage multiple priorities effectively. Excellent communication skills, with the ability to bridge technical and business domains. Strong skills in
MS Excel
(pivot tables, advanced formulas, macros). Exposure to
Power BI
for data visualization and reporting. Preferred Qualifications Degree in Computer Science, Data Science, Engineering, or related field. Experience with tools like Power BI, Tableau or similar.
multiple ad hoc reporting requests , ensuring clarity, accuracy, and relevance. Understand
end-to-end data flows , from source systems to reporting layers. Design and maintain
data models
that support scalable analytics and reporting. Collaborate with stakeholders to
translate business needs into technical specifications
and reporting frameworks. Develop and optimize data pipelines and integrations using modern development practices. Work with databases such as
IBM DB2, Oracle, Netezza (NZ), and Microsoft SQL Server
to extract, transform, and analyse data. Support AI/ML initiatives by preparing data and contributing to model development and deployment. Manage own workload and priorities effectively, delivering high-quality outputs independently. Document findings, methodologies, and data logic clearly for both technical and non-technical audiences. Utilize
advanced MS Excel skills
for data manipulation, analysis, and reporting. Leverage
Power BI
for dashboard creation, data visualization, and stakeholder reporting. Required Skills & Experience 8+ years
of experience in data analytics, software development, and systems architecture. Strong proficiency in
SQL, Python, and/or R. Expertise in enterprise databases:
DB2, Oracle, Netezza (NZ), SQL Server. Solid understanding of
data modelling ,
ETL processes , and
system design principles. Experience with
cloud platforms
(e.g., Azure, AWS, GCP). Familiarity with
AI/ML concepts , model lifecycle, and data readiness. Proven ability to work independently and manage multiple priorities effectively. Excellent communication skills, with the ability to bridge technical and business domains. Strong skills in
MS Excel
(pivot tables, advanced formulas, macros). Exposure to
Power BI
for data visualization and reporting. Preferred Qualifications Degree in Computer Science, Data Science, Engineering, or related field. Experience with tools like Power BI, Tableau or similar.