ibex

BI & Data Analytics Specialist

ibex

Pakistan

Accepting Applications Full-time On-site LinkedIn
Posted 22 hours, 33 minutes ago 1 views 0 applications
Job Description

About the Role

We are looking for a Data Analytics professional to join our Compliance Analytics team. In this role, you will work closely with business stakeholders to deliver data-driven solutions that support compliance, improve business processes, and provide actionable insights.

You will be involved throughout the analytics lifecycle, from gathering requirements and analysing data to developing dashboards, building data models, and supporting data governance initiatives. Using tools such as SQL, Python, Power BI, Tableau, dbt, and Microsoft Fabric, you will help turn data into meaningful information that supports business decision-making.

This is an excellent opportunity for someone who enjoys solving problems, working with modern data technologies, and collaborating with both technical and business teams.

Job Responsibilitie

sStakeholder Collaboratio

nCollaborate with business stakeholders and Lead Analysts to understand business requirements and translate them into effective technical and analytical solutions

**.

Project Delive**

rySupport the end-to-end delivery of analytics initiatives, including requirements gathering, data exploration, solution design, development, testing, deployment, and post-implementation suppor

**t.

Data Modell**

ingDesign, develop, and maintain scalable, efficient data models using dbt and Microsoft Fabric semantic models. Confidently work with large, complex, and imperfect datasets to deliver reliable analytical outpu

ts.Business Intelligence \& Visualisat

ionDevelop, maintain, and enhance interactive dashboards and reports using Power BI and Tableau, enabling the Compliance team to make informed, data-driven decisio

**ns.

Data Analy**

ticsWrite efficient and complex SQL queries and Python scripts to extract, transform, analyse, and automate data processes, supporting business reporting, advanced analytics, and AI-driven initiati

ves.Insight Genera

tionConduct detailed analytical investigations to identify trends, risks, operational inefficiencies, and opportunities for improvement. Present findings and recommendations clearly to both technical and non-technical stakehold

**ers.

Data Gover**

nancePromote high standards of data quality, consistency, and documentation. Support data governance processes by assisting with the triage and resolution of data governance issues raised through the Data Governance F

orum.Job Require

**ments

Skills, Experience \& Compet**

**encies

Es**

  • sential4–5 years of experience in Data Analytics, Business Intelligence, or a related analytica
  • l role.Advanced SQL skills with proven experience in data extraction, transformation, optimisation, and complex qu
  • erying.Strong experience developing dashboards and reports using modern BI tools such as Power BI or T
  • ableau.Strong Python programming skills with experience in automation, scripting, advanced analytics, and supporting machine learning or AI-enabled sol
  • utions.Demonstrated experience designing and maintaining data
  • models.Excellent communication and stakeholder management skills, with the ability to gather requirements, explain technical concepts, and present analytical findings to business aud
  • iences.Strong analytical and problem-solving skills with sound commercial awareness and attention to
  • detail.Ability to manage multiple priorities and contribute effectively across several concurrent projects in a fast-paced envir

**onment.

D**

  • esirableExperience developing Power BI semantic models and writing advanced DAX m
  • easures.Hands-on experience with dbt for data transformation and mo
  • delling.Familiarity with the Microsoft Fabric ec
  • osystem.Experience building or integrating AI agents or generative AI so
  • lutions.Understanding of modern data warehousing concepts and cloud-based data pl

atforms.

Education

  • EssentialBachelor's degree in mathematics, Statistics, Economics, Engineering, Computer Science, Finance, Data Science, or another quantitative d

iscipline.

  • Experience4–5 years of relevant professional experience in Data Analytics, Business Intelligence, Data Engineering, or a sim

ilar role.

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