Data Analytics Specialist

We are seeking a skilled Data Analytics Specialist to join our dynamic team

The ideal candidate will excel in processing, modelling, and analyzing complex data sets to derive actionable insights that drive strategic business decisions

This role requires a blend of technical expertise, analytical skills, and the ability to collaborate with various departments, including delivery, operations, sales, and marketing, to provide a competitive advantage through data-driven insights

Job Responsibilities

Data Analysis:

Lead data analysis projects using advanced techniques to discover insights that inform strategic decisions

Develop and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics to support key business decisions

Technical Process Development:

Design and build technical processes to address business issues and optimize operations

Collaboration:

Work closely with cross-functional teams to understand their data needs and provide analytical support

Communicate results and business impacts of data insights to stakeholders within and outside the company

Reporting:

Generate and present regular and ad-hoc reports, summarizing key findings and recommendations

Project Management:

Organize and drive successful completion of data insight initiatives through effective management and collaboration

Key Competencies Required For The Role

Experience:

At least 5 years of experience in a data analysis role, monitoring, managing, and drawing insights from data

Proficiency with Excel, Word, and PowerPoint

Technical Skills:

Proficiency in SQL, Python, R, or other programming languages used for data analysis

Experience with data visualization tools such as Tableau, Power BI, or similar platforms

Understanding of modern data platforms like Snowflake, Databricks, GBQ, etc,

Familiarity with business platforms like Salesforce, Workday, etc,

Analytical Skills:

Strong problem-solving, quantitative, and analytical abilities

Knowledge of statistical modelling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc,

Experience with predictive analytics, data mining, and mapping

Communication:

Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely

Attention to Detail:

High level of accuracy and attention to detail in work outputs

Project Management:

Ability to plan and manage multiple processes, projects, and teams simultaneously

Strong collaboration and delegation skills