Data Analyst L2 at Derivco

• We are seeking an experienced data/product analyst to identify and capture business requirements in partnership with domain experts focusing on main areas/products of responsibility.
• Translate business requirements into data analytics projects and deliverables.
• To perform the required descriptive or inferential statistics, create visualizations and or reports identifying trends and patterns in the data, to use the relevant statistical techniques and tools to provide insights to inform the business decisions on the questions being raised.
• Constantly Curious
• Contribute ideas and support innovation projects that drive value in the business.
• Communicate achieved value & benefits.

Planning & Project Management

• Plans, coordinates and manages internal and external resources to accomplish assignments within scope: meeting time, cost and quality targets.
• Ensure new projects are aligned with the team strategy and that there's no duplication.

Evaluation

• Evaluate the impact of decisions on overall business performance.
• Evaluate and optimize business KPIs on an ongoing basis.
• Evaluate the usefulness and accuracy of analytics solutions focusing on main area/product of responsibility.
• Collaborate with other members in the Analytics team to define and measure the success of new solutions.

Data Analysis

• Collect, validate, cleanse, organize, transform, visualize, and analyze data from different data sources to inform business decisions
• Carry out statistical analysis to test hypotheses and make recommendations
• Create and iterate interactive visualizations and reports to provide intuitive insights
• Proactively investigate trends and anomalies that can add business value
• Contribute to the strategy of the analytics team
• Deliver high quality solutions/projects timely while ensuring business requirements are met
• Knowledge of key regulatory requirements to manage risks effectively
• Initiate collaboration with others and voluntarily support others in the delivery of their work
• Support the development of structured processes to analyze data
• Serve as a subject matter expert within the team
• Actively look for ways to identify market demands and meet customer or client needs

Stakeholder engagement & communication

• Communicate ideas and recommendations succinctly across the organization incl. senior leadership
• Partner with business stakeholders to identify high-impact data analytics/science projects
• Work with a diverse set of stakeholders and their expectations
• Create regular communications for distribution within main area/product of responsibility promoting the work of the Analytics team and the adoption of our solutions
• Identify opportunities to improve ways of working with the business

Documentation & Training

• Create documentation to communicate solution implementation and help standardize and optimize data analytics processes
• Help create training resources and facilitate training on analytical tools for internal users
• Deliver knowledge-sharing sessions across the data analytics and business intelligence community
• Collaborate effectively with other members of the analytics team to ensure efficient delivery of projects including reports and predictive models

Ongoing improvement

• Propose and support continuous improvement activities focusing on main area/product of responsibility, e.g. evaluate and refine business analysis processes, practices and technologies, ensure robust quality assurance processes are adhered to, safe-guard data quality and privacy, etc.
• Develop a good understanding of the business though shadowing, requirements gathering, stakeholder engagement, research, etc.
• Proactively identify new data sources (internal and external) to enhance analytical models, and collaborate with technical team members to transfer new data into the warehouse
• Support and maintain existing reports and dashboards focusing on main area/product of responsibility
• Capture lessons learned and share with team and analytics community
• Develop structured processes to analyze data

Knowledge & Experience

• Strong analytical and numerical skills with attention to detail
• Demonstrate a strong understanding of the data to answer business questions effectively
• Demonstrate a good understanding of company goals, industry fundamentals and business problems and find new ways to leverage data
• 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
• 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 distil 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.
• 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

Strong Oral And Written Communication Skills

• At least 2 years of work experience working in an analytical role, and/or ability to demonstrate strong analytical skills
• Understand data as a resource and its potential applications for deriving value
• Demonstrate high data literacy incl. identifying common data sources, structures, and types

Education

• Ideally a degree in a quantitative field such as Finance, Economics, Computer Science, Statistics, Math, Physics or specialized training/certification or equivalent work experience