Open Positions : Lead Developer – Analytics as service
Location : Maersk Technology Centre, Bangalore
Experience : 08-14 years
BASIC QUALIFICATIONS :
- Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
- Design and build technical processes to address business issues.
- Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
- Recruit, train, develop and supervise analyst-level employees.
- Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.
- Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.
- Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
- Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
- Good UI/UX skills is a necessary
- Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
- Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
- Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.
- Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.
PREFERRED QUALIFICATIONS:
- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
- Experience on data quality, data mapping, data transformations, data governance and classifications
- Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.
- Experience working with and creating databases and dashboards using all relevant data to inform decisions.
- Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
- Strong problem solving, quantitative and analytical abilities.
- Strong ability to plan and manage numerous processes, people and projects simultaneously.
- Excellent communication, collaboration and delegation skills.
- Strong programming skills with querying languages: SQL, SAS, etc.
- Experience with big data tools, models and frameworks on python and scala
- Experience with data visualization tools: PowerBI, Tableau, MSBI and MicroStrategy.
- Experience with Azure Analysis, synapse, Python and other analytics tools
- Experience in any of the two : EMR/HD insight cluster, Redshift, Glue/ Azure data factory, Athena /Modern data factory, Amazon Kinesis/Azure stream, Snowflake, AZURE data Bricks
- Excellent UI/UX Design skills and hands-on experience in Node.js,Angular.js,Full Stack