Technical Data Analyst
2 weeks ago
Ibex,
for one of its
global clients,
is hiring a
Data Analyst
to join the
Data Analytics team
. This role is ideal for someone passionate about building robust data solutions from the ground up. You will play a critical role in
querying, transforming, and analyzing complex datasets,
while contributing to the design of scalable data models and automation of key reporting processes. Your insights will directly drive
operational efficiency, cost optimization, and strategic decision-making
across the business.
Key Responsibilities
- Write clean, efficient, and production-quality
SQL queries
to extract, manipulate, and analyse large datasets, applying advanced techniques such as joins, window functions, and CTEs. - Develop and maintain
Python scripts
to automate manual processes, clean and validate data, and perform advanced statistical analysis using libraries such as
Pandas
and
NumPy
. - Design, build, and maintain scalable
data models
using
dbt
, ensuring datasets are reliable, well-documented, and ready for analytics and business intelligence. - Implement robust
data quality checks
and validation scripts within data pipelines to ensure accuracy, consistency, and governance of business-critical metrics. - Collaborate with cross-functional stakeholders to
translate business requirements
into technical specifications for data pipelines, reports, and analytical solutions. - Deliver
insightful analysis
and communicate findings clearly to senior leadership and non-technical stakeholders, enabling data-driven decision-making.
Required Skills & Experience
- Bachelor's degree in computer science
,
Data Science, Statistics, or a related field. - Advanced SQL expertise
, with the ability to write complex, performant queries and optimize for large-scale data operations. - Proficiency in Python
, with experience automating workflows and analysing data. - Hands-on experience with dbt
for managing data transformation workflows and scalable models. - Strong
analytical and problem-solving skills
, with a keen eye for detail and data accuracy. - Experience with BI/visualisation tools (Power BI, Tableau) and foundational knowledge of statistical modelling or machine learning concepts is a plus.
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