Assistant Manager/Manager - Business Analyst/ Data Specialist

Role and Responsibilities

This role demands working with the BI Team and Business Stakeholders to design, build and support the critical reports and backend Data warehouse for the organization. Personal needs to comprehend the complex business logic and implement them in terms reports & analytical algorithm

• Lead the Data Engineering through its next phase of growth.
• Responsible for managing all sets of data integrated & Reports built upon it
• Work closely with different functional team to capture requirements and synthesis them in to BRD & FSD documents
• Coordinate with technical team and help them understand the requirements
• UAT Testing the reports developed my technical team
• Have an eye for Data Quality and understanding of Data Completeness.
• Understanding different market data used in current business processes and the impact of making changes.
• Should know various tools and techniques to ensure data is accurate and verified.
• Develop the data roadmap using the most appropriate technologies and manage and expand in-house data teams to support growth.
• Able to implement statistical algorithm like Linear Regression, KNN, Market Basket Analysis, Naïve Bayes Classifier, Apriori Algorithm etc

What are the pre-requisites and skillsets required to apply for this role?

• Strong knowledge & experience in Relational databases like SQL Server and Oracle
• Experience working with BI tools: Power BI, SSAS, SSRS, SSIS, Jupyter Notes
• Good experience of Analytical Languages like Python, R and DAX
• Basic domain knowledge of Mutual Funds.
• Good analytical skills (having exposure to TensorFlow will be plus)
• Excellent communication skills - both written and verbal.

Skill & Competencies

• 3+ Strong hands on experience, knowledge and understanding of managing and non marketing data.
• Minimum 2 years working closely with Operations, Sales or Finance teams.
• Proven experience of working with unstructured data and creating relationship and structure around it to solve strategic, tactical, structured, and unstructured business problems.
• Deep experience in predictive analytics and statistical modelling.
• Working experience in Relational databases like SQL Server and Oracle
• Strong knowledge and understanding of SSRS, SSAS, SSIS will be plus.
• Exposure to Non-SQL and big data technologies.
• Strong problem-solving skills.
• 2-3 years of overall experience in Data Warehousing, Big Data & Analytics
• Exceptional leadership, management and communication skills
• Working experience with scripting languages like R, Python, etc
• Operate in time-sensitive environment with competing deadlines; appropriately prioritize the short- and long-term paths based on an Agile development process
• Entrepreneurial thinker; ability to innovate, think outside the box
• Designed conceptual data model based on the requirement, interacted with non-technical end users to understand the business logics
• Strong familiarity and adherence to core Database Principles

Qualifications

• Any Graduate/B.Tech/B.E./MCA/MBA/Any Specialization
• Minimum 3 years of relevant experience