Data Analyst at Ignition Group

Key roles and responsibilities:

Data Interpretation and Problem Solving

• Interprets a wide range of data to answer specific business questions.
• Helps to solve problems by breaking them down into quantitative analysis.
• Assists in implementing the data analytics lifecycle, i.e., identify, collect, clean, analyze, interpret, and display data.

Data Collection and Preparation

• Receives and understands end-user requirements to collect the required data.
• Uses automated tools to extract data from primary and secondary sources.
• Cleans, orders, and prepares data for future use.
• Assists with the verification of data quality to ensure accurate analysis and reporting.
• Identifies gaps in datasets and assists in building datasets from scratch.
• Removes corrupted data and fixes coding errors and related problems.
• Updates databases to reflect changes in systems or business data requirements.

Data Analysis and Insights

• Helps to analyze the data to identify past patterns, trends, and to forecast (predict) what may happen in the future.
• Uses data mining techniques and statistics to gain insights and discover patterns in data that could lead to actionable recommendations.
• Translates data into easily understood terms and communicates insights and recommendations.
• Remains focused on exploration and problem-solving.

Data Visualization and Technology Awareness

• Assists with the creation of visualizations such as dashboards and/or graphs.
• Remains current on developments such as cloud computing, machine learning, artificial intelligence, etc

Education and training:

• Degree in Computer Science, Business, Information Technology, Mathematics, Statistics, Data Analytics, or relevant field
• Relevant bootcamps (e.g., Data Analytics Bootcamp)
• Relevant certifications such as Certified Data Analytics Professional (CBIP)

Experience:

• At least 3 -5 years’ experience as a data analyst
• Some technical writing experience.
• Experience with programming frameworks, e.g., ETL, ELT
• Experience in statistical analysis using statistical packages.
• Experience mining, evaluating and visualizing data