Data Scientist
5 days ago
**Data Scientist**
**Location**:Remote
**Length**:12 months
**Rate**:£42-49 p/h
**Hours**:9am-6pm
We are seeking a dynamic, analytical, process, detail-oriented Visualisation Analyst who can partner effectively and closely with the BMG Support team and across the BMG organization. Someone comfortable with ambiguity to manage and drive cross functional projectsindependently, and thrive in the absence of process/oversight.
This role will require leveraging SQL to source and mine data and using Big Data tools such as Tableau, Hive, and Presto so that he/she can analyze trends, metrics, identify areas to improve operational efficiency and guide leadership to make informed decisionsbacked by data and facts.
**Responsibilities**:
- Use internal and external data to derive insights that will drive strategic business decisions
- Build prototypes of analytical tools to help scale the procurement of insights
- Drive operational excellence that supports cross functional partners, and ensure the smooth running of weekly, monthly and quarterly business rhythms
- Develop compelling analyses to execute data-informed initiatives that helps improve our support channels, productivity, and quality at scale
- Focus on process and continuous improvement of core metrics through automation and process enhancement
- Conduct in-depth investigations leveraging large and complex data sets
- Partner with Data Science, Data Engineering, Product and Customer Operations teams to solve problems at scale
- Inform, influence, and execute new strategies and tactics using analysis and impact metrics to support your positions
- Build/maintain reports, dashboards, and metrics that equips the BMG Support organization to scale successfully
**Minimum Qualifications**:
- Demonstrated problem-solving experience with experience providing actionable business insights and recommendations data and fact-based
- Demonstrated experience in storytelling with data
- Experience working collaboratively with cross-functional stakeholders and partners
- 5+ years of SQL experience (creating and updating queries)
- Experience with data visualization tools such as Tableau or packages in R/Python
- Experience with reporting systems and data pipeline architecture
- Communication experience in articulating issues to both technical and non-technical audiences
**Preferred Qualifications**:
- Graduate degree in an analytical field
- Experience with Customer Operations or Scaled Services
- Experience extracting data from large/complex databases
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