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Title: BI Data Analyst & Developer (GROUP 3)

Position Overview:
Join our dynamic team as a BI Data Analyst & Developer, where you’ll bridge the gap between data analysis and solution development. This role is ideal for professionals who enjoy working with data from end to end—analyzing trends, building insightful reports, and developing robust BI solutions. As a BI Data Analyst & Developer, you will collaborate with business stakeholders and technical teams to deliver meaningful insights, create efficient reporting systems, and contribute to the continuous improvement of our business intelligence ecosystem.

Key Responsibilities:

Data Analysis & Insights:

  • Partner with stakeholders to gather business requirements and translate them into analytical solutions.
  • Perform in-depth data analysis to identify trends, anomalies, and actionable insights.
  • Define, track, and report on key performance indicators (KPIs) to support strategic decision-making.
  • Present findings through clear visualizations and reports that drive business outcomes.

BI Solution Development:

  • Design, build, and maintain dashboards, reports, and data models using BI tools (e.g., Power BI, Tableau, SSRS).
  • Develop ETL workflows to collect, clean, and transform data for analytical use.
  • Ensure BI solutions are scalable, user-friendly, and aligned with business objectives.

Data Integration & Management:

  • Consolidate and integrate data from multiple systems, ensuring accuracy, consistency, and timeliness.
  • Monitor and maintain data quality, applying validation and cleansing techniques.
  • Collaborate with data engineers and DBAs to support data pipelines and warehouse optimization.

Collaboration & Stakeholder Support:

  • Serve as a trusted partner to business units, providing data-driven recommendations and technical guidance.
  • Support end-users with BI tools, ensuring they can access and interpret information effectively.
  • Participate in cross-departmental initiatives to enhance enterprise-wide reporting capabilities.

Performance Optimization & Best Practices:

  • Continuously assess BI and reporting solutions for performance improvements and process efficiencies.
  • Document analytical methods, data models, and BI processes to ensure transparency and reusability.
  • Apply industry best practices for BI development, data governance, and security.

Qualifications:

  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or a related field.
  • Strong proficiency in BI tools (e.g., Power BI, Tableau, SSRS) and data visualization best practices.
  • Solid SQL skills and hands-on experience with data modeling and ETL processes.
  • Proven ability to analyze complex datasets and communicate insights clearly.
  • Strong problem-solving abilities with keen attention to detail.
  • Effective communication and collaboration skills across technical and non-technical teams.
  • Curiosity to explore new BI technologies and eagerness to continuously learn.

As a BI Data Analyst & Developer, you will not only build the tools that power decision-making but also analyze and interpret the data that drives business growth. This role offers the opportunity to make a tangible impact, develop your technical expertise, and thrive in a data-driven environment.

 

Job Title: Data Scientist (GROUP 4)

Position Overview:
We are seeking a talented Data Scientist to join our team and leverage data to drive business strategy, innovation, and decision-making. As a Data Scientist, you will be responsible for collecting, analyzing, and interpreting complex datasets, building predictive models, and developing machine learning solutions. You’ll collaborate with cross-functional teams to uncover insights, solve challenging problems, and deliver data-driven recommendations that create measurable impact. This role offers the opportunity to work across the full data science lifecycle, from data preparation to advanced analytics and model deployment.

Key Responsibilities:

Data Exploration & Analysis:

  • Collect, clean, and preprocess structured and unstructured data from multiple sources.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
  • Translate complex datasets into actionable insights that support strategic decision-making.
  • Communicate findings clearly through visualizations, reports, and presentations.

Model Development & Machine Learning:

  • Design, develop, and evaluate predictive and prescriptive models using statistical and machine learning techniques.
  • Implement algorithms for classification, regression, clustering, and recommendation systems.
  • Continuously improve models by experimenting with new methods, features, and approaches.
  • Collaborate with engineering teams to deploy models into production environments.

Data Integration & Pipeline Development:

  • Work with data engineers to build and optimize data pipelines that ensure high-quality, reliable datasets.
  • Automate data preparation, feature engineering, and model training workflows.
  • Ensure consistency and accuracy across datasets used in analytics and modeling.

Collaboration & Business Partnership:

  • Partner with business stakeholders to understand challenges, define problems, and develop data-driven solutions.
  • Translate analytical results into practical recommendations that drive business value.
  • Provide support and guidance to teams on how to leverage data science in decision-making.

Optimization & Best Practices:

  • Monitor model performance and update as needed to maintain accuracy and relevance.
  • Apply best practices for reproducibility, scalability, and interpretability of models.
  • Stay current with emerging trends, tools, and techniques in data science, AI, and machine learning.

Qualifications:

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Strong proficiency in Python or R for data analysis and modeling.
  • Hands-on experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Solid SQL skills and experience working with large datasets.
  • Strong foundation in statistics, probability, and predictive modeling.
  • Ability to communicate complex results to non-technical stakeholders.
  • Problem-solving mindset with strong analytical and critical thinking skills.
  • Eagerness to learn and stay up to date with the latest data science technologies and methodologies.

As a Data Scientist, you’ll play a crucial role in unlocking the value of data, shaping business strategies, and driving innovation. This is an excellent opportunity to work on impactful projects, deepen your expertise, and contribute to the growth and success of our organization.