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Senior Lead Data Strategy Consultant

Location Bengaluru, India
Posted 03-July-2022
Description
In this role, you will:

The role of senior lead data strategy plays a significant part in building a team supporting the design and architecture of the data for Commercial Business. This role will be responsible for partnering across the Commercial Business leaders to understand the current data landscape, data challenges, priorities and deliver data strategy. Periodically review data strategy to assess whether it aligns with current business goals/organizational roles. Role includes attention to organizational roles by documenting who does what with the data, in order to facilitate collaboration and avoid duplication. Data strategy to enable business to manage and interpret all of that data and puts business in a strong position to solve challenges such as:


Slow and inefficient business processes.
Data privacy, data integrity, and data quality issues that undercut your ability to analyze data
Lack of deep understanding of critical parts of the business (customers, supply chain, competitive landscape, etc.) and the processes that makes them inefficient
A lack of clarity about current business needs (a problem that descriptive analytics can help solve) and goals (which predictive and prescriptive analytics can help identify)
Inefficient movement of data between different parts of the business, or duplication of data by multiple business units
The role will be required to work hands (IC) and also to guide team members on the data strategy and architecture

Responsibilities


Innovation: Creates new value or efficiency through innovation. Innovation should be a central goal as you create and implement data strategy.
Addressing the needs of users: Your data strategy must support and empower your usersanyone within your organization who helps power the business.
Addressing risk and regulations: Must address your businesss data security risks and compliance requirements, which can vary widely between different types of industries.
Set both long-term and short-term goals: Set a short-term goal of performing data quality reviews once every month, for example, a long-term goal might be to achieve continuous data quality, meaning that you identify and address data quality problems continually, rather than relying on periodic checks.
Enforce data strategy for multiple users namely: Data engineers, who oversee the data pipeline and are responsible for building an efficient, reliable data architecture
Data scientists, who work with data that the pipeline delivers
Data analysts, who specialize in analyzing and interpreting data
Business managers, who help to manage data operations and review data reports


Data Architecture: Data Ingestion, Storage and Analysis .Data Catalogs, data warehousing / lake, data pipeline
Data Management- Ensuring Data Governance, data quality and data security.
Perform ETL activities (Extract, Transform & Load) to standardize the data structure for analytics
Providing business and technical leadership to develop data strategy across functions within Commercial Business functional areas
Responsible for maintaining partner relationships ensuring high quality team deliverables and SLAs
Working closely with responsible business partnering with stakeholders, US partners & program managers
Work independently, foster a culture of healthy and efficient working for the team
Designing and solving complex data related problems using the right tools
Will be involved directly in the technical build-out and/or support of databases, query tools, reporting tools, BI tools, dashboards, automation etc. that enable analysis, modeling, and/or advanced data visualization including development of Business Objects/ Tableau reports using multiple databases
Recommends potential data sources; compiles and mines data from multiple, cross business sources.
Works with typically very large data sets, both structured and unstructured, and from multiple sources
Develops specific, customized reports, ad hoc analyses and/or data visualizations, formatted with business user-friendly techniques to drive adoption, such as (1) Excel macros/pivoting/filtering, (2) PowerPoint slides and presentations, and (3) clear verbal and e-mail communications
Works with senior consultants or directly with partners, responsible for identifying and defining business requirements and translating business needs into moderately complex analyses and recommendations.
Works with local and international colleagues and with internal customers, responsible for identifying and defining business requirements and catering to business needs for the team
Collaborate with internal teams and participate in knowledge exchange and organization initiatives
Ensures adherence to data management/data governance regulations and policies
Ability to work overlap hours with US team
Shift 1:30-10:30 pm
Essential skills qualifications:


10-12years of data management / strategy /architecture/ data engineering /experience, MS/MA degree or higher in a quantitative field such as applied math, statistics, Operations Research, Engineering, Physics, Accounting, Finance, Economics, Econometrics, Computer Sciences, or Business/social and behavioral sciences with a quantitative emphasis
10years of experience in one or more of the following: ETL, Data Ingestion, Data Pipeline, Data Management, Data quality , Big Data, Hive, Hbase, AWS,Google cloud services etc.
10years of experience with Data Management tools SAS, SQL, Tableau, R/Python or other data management, reporting, and query tools
8years of experience in developing and creating reports, creating data marts , BI dashboards and data visualization, working on end to end reports, deriving insights from data
Partner Management experience with ability to effectively drive results, provide feedback/direction, and manage and build relationships with leaders and team members in a geographically dispersed team environment.
Knowledge of an environment that utilizes large relational databases such as SQL Server, Oracle, DB2, or Teradata
Excellent verbal, written, and interpersonal communication skill
4years of project leading experience in mentoring or training other team members.
Desired Skills


Languages: T-SQL, PL/SQL, SAS, R/Python ,Pyspark, Hive, Scoop, Big Data Languages
BI Tools: Oracle BI, SSRS, Tableau
Strong analytical skills with high attention to detail and accuracy
Commercial Business Analytics experience is preferred
Understanding Financial products, systems, and platforms
Applications: MS Office (Access, Excel, Word), SharePoint
Experience
Min 10 to 13 Years.

 
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