Senior Operations Data Analyst
1 week ago
Are you a Senior Data Analyst with a proven track record of delivering clear business impact through data? We’ve been looking for you
The data team at Kape is building a world-class, data-driven culture to empower our employees with timely, accurate information to drive their decision making.
In this role you will make a huge impact, influencing business decisions relating to millions of customers every day. You’ll work with great people on projects across the company, supporting top-performing departments including software development, engineering, product, marketing, content, and people management.
What you’ll be doingAs a Senior Operations Data Analyst, you will:
- Act as a strategic partner in Product Operations to grow the extent of data-driven planning and decision making. Product Operations watches over our service platforms and infrastructure, ensuring our services are working reliably and seamlessly for our customers.
- Lead complex projects to turn data into insights, predictions, and actionable recommendations, delivering clear business value to our cross functional teams in their business challenges.
- Deliver impactful insights and recommendations using compelling visualizations in user-friendly dashboards.
- Collaborate with Data Engineers and Analytics Engineers to define requirements and standards for data pipelines and transformations, aligning with broader requirements.
- Drive quality and consistency, setting solid standards for the team
If this sounds like you, please get in touch
- Are passionate about data and using it to influence business decisions.
- Have 4+ years of experience in a Data Analyst / Business Intelligence Analyst role.
- Adept at integrating with the business to truly understand their business challenges, defining how data can help and integrating it at the earliest opportunity to increase data driven decision making.
- Have a track record of delivering clear business value from data through fit for purpose and actionable insights.
- Are an excellent communicator and use storytelling to bring insights to life and make connections on the business level.
- Have outstanding analytical skills - from unearthing valuable insights through querying data to creating compelling visualisations for ease of understanding.
- Proficient with querying languages such as SQL, and visualization tools such as Tableau/Power BI
- Are organized and able to lead complex projects with multiple user stories and dependencies.
- Seek a fast-paced environment where you will make an instant impact.
- Want to work alongside other intelligent and passionate people.
- Data science experience (e.g. experimentation, predictive analytics, machine learning).
- Training / mentoring experience relating to data: Can be with team members or across business units and their data use.
- You are comfortable talking technology and communicating with developers on technical topics.
- Understanding of operational metrics such as connection statistics, server telemetry, bandwidth utilization, and more
- Experience with Operations Monitoring tools such as Grafana, InfluxDB
Tell employers what skills you have
Mentoring
Machine Learning
Business Intelligence
Analytical Skills
Pipelines
Experimentation
Predictive Analytics
Productivity Improvement
Data Collection and Analysis
SQL
Telemetry
Statistics
Data Science
Visualization
Storytelling
Decision Making
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