Learning & Events
Data Planner
What is day-to-day life like as a Data Planner, what are the main responsibilities, and what skills do you need to excel?
We chatted to Sophie Lark, who is currently working as a Data Planner at RAPP, to find out what day-to-day life is like in her role.
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Role Profile
As a Data Planner, you'll be the person in charge of defining what the problem is and determining what the client needs. You'll present the data that you collected to clients using dashboards and analysis reports. You won’t only need to understand the data collected, but be able to provide valuable insight and analysis. Data Planner will be asked to collaborate with other programmers in order to create an extract, transform and load process (ETL process) which transforms the data that’s been collected into readable, goal-driven reports for continued innovation and growth.
To be successful as a Data Planner, it is important that you are innovative as you will be made to present data to senior members of an organisation also have great presentation skills in order to be able to communicate clients requirements and present data in a compelling way.
Key responsibilities
Collaborate with IT team, Management and Data Scientists to determine the organisational goal is met
Collect data from multiple sources such as databaes, backups, flat files
Creating forms of presentation to convey data analytic reports and liase with clients to understand their data content
Collaborate with quality assurance analysts to ensure that quality assurance of imported data is provideed
Manage and design ways of storing data sources, security and metadata
Conduct and analyse surveys data and identify ways of increasing efficiency and automation processes
Present data analysis reports to executives and project teams
Create new methods of collecting data and analysis processes
Identify trends, correlations and patterns in complicated data sets
Requirements
You must have a good level of communication skills to liaise effectively with other professionals to ensure that the organisations goals are met
Excellent understanding of programming tools such as Oracle, Python and SQL
Good problem solving skills and a methodical approach when tackling various sitiuations
Excellent numerical and data analytical skills
Have the ability to effectively convey and produce accurate graphical representations and visualisations of data collection
Creative thinking in order to come up with new ways of collecting data and processing methods
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