Data Analyst - Cape Town, South Africa - Impact

Impact

Verified Company

Cape Town, South Africa

3 weeks ago

Posted by:

Thabo Mthembu

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Description

Our Company:

If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world then this is the place for you.

If you have a desire to work in an organisation that is:

Passionate about its people
Focused on delivering the very best tech to our customers
Offering the flexibility to work how and where you are most successful
Obsessed with our customer's success
The leading SaaS platform to automate partnerships affiliate, influencer, technology partners, and more
Entrepreneurial in spirit with a culture that rewards collaboration and curiosity
Obsessed with making a difference in business and to the wider community

Impact is the global leader in Partnership Automation, working with innovative brands like Ticketmaster, Levi's, Microsoft, Airbnb, and Uber to help them manage their online affiliate, influencer, brand to brand, and content partnerships.

The Impact Partnership Cloud covers the full life partnership lifecycle including onboarding, tracking ads and paying partners, recruiting for new partners, data and marketing intelligence, and protection from fraud.

Founded in 2008, Impact has grown to over 500 employees and ten offices across Europe, the United States, Africa, and Asia so there is plenty of opportunity for growth and advancement.

Your Role at Impact:

The data analyst is responsible for collecting, analyzing and interpreting large and complex datasets to identify patterns and trends, surface facts and develop insights, aiding the team in delivering data-driven recommendations to support business decisions.

Data pun: "which way did the programmer go? He went data way"_

What You'll Do:

Extract and analyze data from various sources including relational databases (mySQL, postgres), big data technologies (BigQuery, Kudu, Impala, SingleStore, Hive), file sources (parquet, ORC, avro, csv, xlsx) and reporting systems (Looker, DOMO)
Conduct data analysis, surface insights and present recommendations to both technical and nontechnical stakeholders in a clear and concise manner
Create visualizations, dashboards and reports to present data analysis findings
Use statistical techniques to identify trends and derive patterns and insights embedded in the data
Assist with the identification, creation and maintenance of master datasets
Actively participate in and occasionally lead data stewardship initiatives
Clean and manipulate data to ensure high quality and integrity of reporting outputs
Help drive adoption of data mart and reporting outputs in the broader organization
Contribute to and compile technical specifications for new data assets (marts, tables, views, cubes)
Collaborate closely with data and analytics engineers to close the gap between stakeholders' data needs and development efforts
Analyze source systems and help identify business logic embedded in the underlying datasets
Identify and communicate data quality and data validation issues in productionalized datasets
Build and maintain dashboards to support business stakeholders
Perform adhoc data analysis to determine suitability of a data source for use in data marts and reporting outputs or to assess key performance indicators (KPIs)
Troubleshoot process failures and identify opportunities for automation
Help train and upskill new team members

What You Have:

Bachelor's degree in mathematics, statistics, economics, computer science or a related field
3+ years of experience in a data analysis, business intelligence or data engineering role
Developed analytical and problemsolving skills
Python and SQL coding skills
Developed data analysis and data visualization skills
Experience with the Google Cloud Platform (GCP) and integrated technologies preferred
Exposure to DataBricks, PySpark and BigQuery highly advantageous
Experience with data wrangling (data cleaning, manipulation and preparation)
Exposure to machine learning libraries, tools and protocols (supervised & unsupervised learning)
Experience with standard statistical modeling and forecasting methodologies
Exposure to nosql data systems beneficial (HBase, Redis, Kafka)
Experience with data visualization tools such as Tableau, Power BI, SSRS/SSAS, Looker or QlikView
Good verbal and written communication skills
Ability to work independently and collaboratively in a fastpaced, dynamic environment
Experience working in the marketing technology industry beneficial

Nice to have:

Affiliate & Partnerships Industry Fundamentals Certification by PXA

Benefits/Perks:

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Unlimited PTO policy

Take the time off that you need. We are truly committed to a positive worklife balance, recognising that it is important to be happy and fulfilled in both

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Training & Development