Data Analyst

The Urban Unit, a vital part of the Planning & Development Board, Government of the Punjab, is hiring for two (2) Data Analyst positions. These project-based roles are crucial for collecting, processing, and interpreting data to support sustainable urban development initiatives. If you are skilled in data analysis and meet the age criteria, consider applying for the Data Analyst job in Lahore. Join a forward-thinking organization committed to shaping functional and attractive urban environments across Pakistan.

Offered Salary: 50,000 - 100,000 PKR Age: 30 - 40 years Gender: Both Skills Level: Intermediate Location: Lahore, Punjab Organization: The Urban Unit Posted on: 2025-05-24

About The Urban Unit

The Urban Sector Planning & Management Services Unit (Urban Unit), operating under the Planning & Development Board, Government of the Punjab, has been a trailblazer in developing sustainable urban solutions across Pakistan for over 18 years. It has played a pivotal role in re-shaping urban culture by assisting various government entities in creating urban areas that are functional, attractive, and sustainable. The Urban Unit is currently seeking highly exceptional, sound, and self-motivated professionals to join its project-based team for various critical positions. This is an opportunity to contribute to significant urban development projects.

Job Specific Details

The Urban Unit is looking for competent professionals to join its team as Data Analysts. There are two (2) vacancies available for this role, and the maximum age limit for applicants is 35 years. Data Analysts will be responsible for collecting, cleaning, analyzing, and interpreting complex datasets related to urban planning and development. The insights derived from their work will be critical in informing strategic decisions and evaluating the effectiveness of various urban initiatives.

Qualifications and Experience (Inferred)

While specific educational qualifications are not explicitly mentioned, a Data Analyst role typically requires a Bachelor's or Master's degree in Statistics, Computer Science, Data Science, Economics, Mathematics, or a related quantitative field. Given the age limit of 35, candidates are expected to have professional experience, likely 2 to 5+ years, in data collection, processing, and statistical analysis. Proficiency in data analysis tools (e.g., Excel, R, Python, SQL) and data visualization software (e.g., Tableau, Power BI) will be highly advantageous. Experience with large datasets and a strong analytical mindset are essential.

Application Process

For detailed job descriptions and Terms of Reference (TORs), interested candidates are advised to visit the official website: www.urbanunit.gov.pk. To apply, all applications must be submitted online through the Punjab government's job portal: www.jobs.punjab.gov.pk. It is crucial to note that applications submitted by hand, courier, or email will not be entertained under any circumstances. The deadline for submitting applications for all advertised positions is Friday, June 13, 2025. Only shortlisted candidates will be contacted for further assessment and interviews. Government servants must apply through the proper channel, obtaining a No Objection Certificate (NOC) from their current department if required. Please be aware that no TA/DA will be admissible for candidates appearing for tests or interviews. Incomplete applications or those containing insufficient information will not be processed.

General Terms and Conditions

The Urban Unit operates as an equal opportunity employer, committed to diversity and inclusion. Quota for various categories will be observed as per applicable government rules and regulations. Female applicants are strongly encouraged to apply for these positions, promoting gender diversity in the workforce. The company reserves the right to cancel, increase, or decrease the number of vacancies at any level without assigning any reason. Furthermore, The Urban Unit holds the right to accept, reject, or cancel any application or the entire recruitment process at any stage, without assigning any reason. This ensures flexibility in the hiring process to meet organizational needs.

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