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Data Analyst

Sumatosolutions

Lahore

On-site

PKR 2,000,000 - 2,750,000

Full time

30+ days ago

Job summary

A leading software development company is searching for a Data Analyst to join their dynamic team in Lahore. The ideal candidate will have experience in data analysis, reporting, and visualization, using tools like Power BI and SQL. This position offers a competitive salary, opportunities for personal growth, and a collaborative work environment. The role is crucial in turning data into meaningful insights for various departments within the organization.

Benefits

Market Competitive Salary
Weekend Off
Paid Annual Leaves
Personal Growth
Work Anniversaries & Birthdays Celebrations
Performance-Based Increment

Qualifications

  • 2 to 3 years of experience in data analysis and reporting required.
  • Strong knowledge of SQL, Excel, and data visualization software.
  • Critical thinking and problem-solving skills are essential.

Responsibilities

  • Collect and prepare data from various sources and ensure its accuracy.
  • Analyze large data sets to identify trends and provide insights.
  • Develop interactive dashboards and automated reports for decision-making.

Skills

Data Analysis
Data Visualization
SQL
Excel
Critical Thinking
Problem Solving

Education

Bachelor's degree in Computer Science
Data Science or Statistics
IT or related field

Tools

Power BI
Tableau
Google Data Studio
Python
Job description
Job Description

Sumato Solutions is a reliable software development company in the IT sector that delivers custom digital solutions to clients globally. Our key services are custom software development, mobile and web applications, UI/UX design, digital marketing, and staff augmentation. With a reputation for strong collaboration with international clients, we provide digital solutions globally.

We are looking for aData Analystwith hands-on experience in data analysis, data reporting, and data visualization. The most suitable candidate must be able to convert raw data into meaningful observations to facilitate data-informed decision-making in all departments.

Key Responsibilities
  • Collect and prepare data information through first and third-party libraries such as databases, APIs, CRM platforms, and third-party tools. Clean and validate datasets to ensure accuracy, consistency, and reliability.
  • Analyze large sets of unstructured and structured data to identify patterns, correlations, anomalies, and market trends.
  • Develop interactive dashboards, automated reports, and performance trackers with tools such as Power BI, Tableau, or Google Data Studio for real-time decision-making.
  • Write efficient SQL statements to retrieve, filter, and summarize information within a relational database and facilitate ad-hoc queries and business user data requests.
  • Monitor and track critical business metrics, including user activity, campaign performance, operational key performance indicators, and financial metrics. Provide intelligence to benefit product, sales, marketing, and finance teams.
  • Automate processes and reporting scripts to reduce manual data entry, maximize speed for scalability.
  • Keep documentation of data definitions, data sources, business rules, and analytics processes. Make sure that there is data privacy and security.
  • Collaborate with stakeholders to understand their analytical needs, requirements, and provide the data in the form of solutions to match the business goals.
  • Stay updated on the best practices in the industry, new tools, and technologies in data analytics.
  • Able to suggest and make recommendations to ameliorate the current data process and infrastructure.
Requirements
  • Bachelor's degree inComputer Science, Data Science or Statistics, IT, or any other related field.
  • 2 to 3 years of experienceworking in data analysis, reporting, or business intelligence at a professional level.
  • Strong knowledge of handling and analyzing data throughSQL, Excel, and datavisualizationsoftware such asPower BI, Tableau, and Google Data Studio.
  • Understanding of scripting languages such asPythonto help in the transformation and automation of data issues.
  • Able to work with both structured and unstructured data, knowledge of validation and cleaning, and how to prepare datasets to analyse.
  • Familiarity with data patterns and trends, and how to present to business stakeholders in a form they understand easily.
  • Have critical thinking to focus on details with great analytical ability, and problem-solving skills to pinpoint problems in data and provide accurate reporting.
  • Able to collaborate with multi-functional teams and cross-functional teams such as marketing, operations, product, and sales.
Company Benefits
  • Market Competitive Salary
  • Weekend Off
  • Paid Annual Leaves
  • Personal Growth
  • Work Anniversaries & Birthdays Celebrations
  • Performance-Based Increment
Working Hours

Monday - Friday; 9:00 am to 6:00 pm

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