Digital Insight Analyst

4 days ago

Lahore, Punjab, Pakistan beBeeData Full time 800,000 - 1,100,000

We are a global leader in delivering custom digital solutions to our clients. Our key services include custom software development, mobile and web applications, UI/UX design, digital marketing, and staff augmentation.

Our company seeks an experienced Business Insights Specialist who can convert raw data into meaningful insights for informed decision-making across all departments.

  • Collect and prepare data through various sources such as databases, APIs, CRM platforms, and tools. Ensure accuracy, consistency, and reliability in the dataset.
  • Analyze large datasets to identify patterns, correlations, anomalies, and market trends using first and third-party libraries.
  • Develop interactive dashboards, automated reports, and performance trackers with 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 critical business metrics, including user activity, campaign performance, operational KPIs, 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.
  • Maintain documentation of data definitions, data sources, business rules, and analytics processes, ensuring data privacy and security.
  • Collaborate with stakeholders to understand their analytical needs, provide data solutions that match business goals, and stay updated on industry best practices, new tools, and technologies.
Requirements:
  • Bachelor's degree in Computer Science, Data Science, Statistics, IT, or related field.
  • 2-3 years of experience working in data analysis, reporting, or business intelligence at a professional level.
  • Strong knowledge of handling and analyzing data through SQL, Excel, and data visualization software such as Power BI, Tableau, and Google Data Studio.
  • Understanding of scripting languages like Python for data transformation and automation.
  • Able to work with both structured and unstructured data, knowledge of validation, cleaning, and preparing datasets for analysis.
  • Familiarity with data patterns and trends, and presenting insights to business stakeholders effectively.
  • Critical thinking and analytical ability to focus on details, pinpoint problems in data, and provide accurate reporting.

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