Data Analyst Level 2 at Derivco

We are seeking an experienced data 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.
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 analyse 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