Senior Manager - Data Analytics

Systems Limited; Punjab; On-site; PKR 3,000,000 - 6,000,000; Full time

Job summary

Systems Limited is seeking a Senior Data Analytics & Engineering Lead to steer Data Analytics and Data Engineering teams, modernize data architecture, and deliver scalable pipelines and dashboards. You will drive Qlik Sense, Power BI, and Big Data initiatives while enabling secure, reliable data delivery across the organization.

Ideal candidates bring 12+ years in analytics/engineering, deep cloud experience with Azure or Databricks, and a proven track record in leadership, architecture, and

Qualifications

• 12+ years of experience in Data Analytics, Data Engineering, BI, or related field.
• Experience leading Data Analytics and Data Engineering teams.
• Strong hands-on Qlik Sense: dashboard development, modeling, reporting, design, architecture, and replication.
• Strong Power BI experience and self-service BI skills.
• Deep knowledge of Big Data technologies: Hadoop, HDFS, MapReduce, Hive, Pig, Sqoop; NoSQL like Cassandra/HBase.
• Experience with Oracle, MS SQL Server, PostgreSQL; ETL and data pipelines.
• Experience with Azure Data Lake, Azure cloud services, and Databricks preferred.
• Keen requirements gathering, data mapping, gap/feasibility analyses, and documentation.
• Excellent communication, leadership, and stakeholder management.
• Familiarity with Agile and Azure DevOps; knowledge of Data Science / ML is a plus.
• Financial services domain knowledge is preferred.

Responsibilities

• Lead and manage Data Analytics and Data Engineering teams, ensuring delivery and best practices.
• Design, build, optimize, and maintain scalable data pipelines and architecture.
• Provide technical leadership across Qlik Sense, Power BI, Big Data & data engineering initiatives.
• Support Azure Data Lake, Databricks, and Azure cloud services.
• Oversee reporting processes to meet regulatory and stakeholder requirements.
• Modernize legacy BI/ETL tools and migrate to modern BI platforms.
• Develop automated dashboards and data visualizations for actionable insights.
• Collaborate with Executive, Product, Data, Design, Technology, and Business teams.
• Mentor team members and promote Agile data engineering practices.

Skills

Team leadership

Data analytics

Data engineering

Qlik Sense

Power BI

SQL

Azure cloud

Agile methodology

Stakeholder management

Data modeling

Tools

Azure Data Lake

Databricks

Hadoop

HDFS

MapReduce

Hive

Cassandra

HBase

Informatica

MicroStrategy

BusinessObjects

Oracle

MS SQL Server

PostgreSQL

Job description

Summary

We are looking for an experienced Senior Data Analytics & Engineering Lead to lead our Data Analytics and Data Engineering teams and drive the optimization and modernization of our data architecture, pipelines, reporting, and analytics capabilities. The ideal candidate will have strong expertise in Qlik Sense, Power BI, Big Data, SQL, data engineering, and cloud technologies, with the ability to translate complex business requirements into scalable technical solutions. The role will support cross-functional teams, modernize legacy reporting platforms, improve data delivery, and ensure secure, reliable, and actionable data solutions across the organization.

Responsibilities

• Lead and manage the Data Analytics and Data Engineering teams, ensuring effective delivery and adoption of best practices.
• Design, build, optimize, and maintain scalable data pipelines, data platforms, and data architecture.
• Provide technical leadership across Qlik Sense, Power BI, Big Data, and data engineering initiatives.
• Support Big Data technologies including Cloudera Hadoop, HDFS, MapReduce, Hive, HBase, Pig, Flume, Sqoop, Cassandra, and related technologies.
• Support Azure Data Lake, Databricks, and Azure cloud services.
• Provide technical support for Oracle Banking and RTB projects across operations, regulatory, and corporate functions.
• Oversee reporting processes and outputs to meet stakeholder, regulatory, and policy requirements.
• Modernize legacy platforms such as MicroStrategy (MSTR), BusinessObjects (BO), and Informatica ETL by migrating to modern BI tools such as Qlik Sense and Power BI.
• Develop automated dashboards, reports, and visualizations to provide actionable business insights.
• Develop and optimize Qlik Sense applications, dashboards, data models, N Printing, Alerting, Catalogue, and Replicate solutions.
• Gather business and technical requirements and translate them into functional and technical specifications.
• Conduct gap analysis, feasibility analysis, impact analysis, and data mapping.
• Identify and implement process improvements, including automation of manual processes and optimization of data delivery.
• Ensure data is secure, properly managed, and reliably delivered across systems.
• Build data and analytics tools that support data analysts, data scientists, software developers, and database teams.
• Collaborate with Executive, Product, Data, Design, Technology, and Business teams to address data-related technical challenges.
• Analyze large datasets and deliver data-driven solutions and actionable insights.
• Mentor team members and promote effective Agile and data engineering practices.

Requirements

• 12+ years of experience in Data Analytics, Data Engineering, Business Intelligence, or a related field.
• Proven experience leading Data Analytics and Data Engineering teams.
• Strong hands‑on experience with Qlik Sense, including dashboard development, data modeling, reporting, application design, architecture, N Printing, Alerting, Catalogue, and Replicate.
• Strong experience with Power BI and self‑service BI solutions.
• Strong knowledge of Big Data technologies, including Hadoop, HDFS, MapReduce, Hive, Pig, HBase, Flume, and Sqoop.
• Experience with NoSQL databases, particularly Cassandra and HBase.
• Strong SQL and database skills with experience in Oracle, MS SQL Server, and/or PostgreSQL.
• Experience with data pipelines, ETL, data integration, data architecture, and data modeling.
• Experience with legacy BI/ETL technologies such as MicroStrategy, BusinessObjects, and Informatica.
• Experience with Azure Data Lake, Azure cloud services, and/or Databricks is preferred.
• Strong understanding of requirements gathering, gap analysis, feasibility analysis, data mapping, and functional/technical documentation.
• Strong data visualization and analytical skills with the ability to analyze large datasets.
• Knowledge of Agile methodology and Azure DevOps is a plus.
• Knowledge of Data Science and Machine Learning technologies is a plus.
• Financial Services domain knowledge is preferred.
• Excellent communication, stakeholder management, leadership, and problem‑solving skills.
• Ability to work independently, prioritize deliverables, take ownership, and adapt to changing requirements.