Data Analyst Level 2

Data Analyst Level 2 United Kingdom

Derivco
Full Time United Kingdom 10.56 - 12.04 GBP Today
Job description

Employment Type: Permanent
We are trailblazers. We are innovative. We have technology running in our veins. Do we tick your boxes? Do you want to play a part in taking gaming technology to the next level? If yes, we’re looking for you!
This is your opportunity to be part of the leading software house in the online gaming world. In our space, passionate, innovative and incredibly awesome teams create the best technology in the field, and each day is a chance to level up.
We are looking for a Data Analyst to join our Team!
As a Data Analyst, you will conduct complex data analysis, develop predictive models, and create data visualizations that drive insights and inform business decisions!
Responsibilities:
Data Analysis:
  • Working with senior leaders and technical specialists to develop a deep understanding of the business problem, context, and data required to answer key questions that would inform tactical decisions
  • Collecting, validating, and transforming data from multiple sources that spans multiple processes, products or services.
  • Organising, cleaning and pre-processing data, ensuring accuracy and completeness.
  • Conducting exploratory data analysis using advanced statistical techniques. Designing visualizations, dashboards and reports which communicate meaningful, clear and actionable insights to stakeholders.
  • Presenting and communicating data findings and insights.
  • Collaborating with team members to identify areas for improvement in data collection and analysis processes.
  • Investigating trends, patterns and anomalies in the data
Planning & Direction:
  • Estimating effort required for own work.
  • Escalation of risks that may compromise on-time and quality delivery.
Knowledge and Practices & Continuous Improvement
  • Identifies issues, risks and improvement opportunities related to team processes.
  • Reviews process performance measures and recommends improvement initiatives to improve delivery.
Stakeholder Management
  • Effectively communicates with stakeholders timeously and resolve queries or escalate for support.
Skills and Experience
  • At least 4 years of work experience working in a data analytics role
  • Understand data as a resource and its potential applications for deriving value
  • Demonstrate high data literacy incl. identifying common data sources, structures, and types
  • Strong data analysis skills including entity relationship diagrams and object graph mapping
  • Strong understanding of data structures, databases and query optimization/best practice
  • Ability to interpret output from data science models and to distill results into clear and succinct ‘stories’ for stakeholders
  • Strong knowledge of technical tools for analysis – SQL Management Studio (SSMS), R Studio, Weka, Stata, JMP, etc.
  • Passionate about data and an engaging communicator with strong work ethic
  • Substantial experience using data visualization tools (Eg: Tableau, Power BI)
  • Strong consulting and presentation skills
  • Strong interpersonal skills and ability to build credibility
  • Ability to work in a multi-disciplinary, remote team
  • Knowledge of a programming language such as R, Python and SQL
  • Knowledge of version/source control systems (such as Github/Gitlab)
  • Experience working on projects with predictive modelling and statistical hypothesis testing
  • Experience creating and managing project plans and working with a diverse set of stakeholders to define requirements, roles and responsibilities, project timelines, etc.
  • Proven ability of deriving insights from diverse data sources and translating them into clear and precise conclusions and recommendations
Qualifications:
  • Ideally a degree in a quantitative field such as Finance, Economics, Computer Science, Statistics, Math, Physics
Are you ready to take your seat amongst the best? Apply now!

Data Analyst Level 2
Derivco

www.derivco.co.za
La Lucia, South Africa
Quraish Behari
Unknown / Non-Applicable
1001 to 5000 Employees
Company - Private
Information Technology Support Services
1996
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