As a Data Analyst within Customer success function, you will work closely with multiple functions including Project Management, Professional Services teams, towards improving the efficiency and quality of customer project execution experience. You will be responsible for creation of internal processes, data management, reporting and dashboarding related to project delivery.
The below roles & responsibilities are indicative of the expectations of GreyOrange from your job role. As your impact on the organization and the responsibilities evolve over time, hence the roles and responsibilities are not limited to the below.
Responsibilities:
Act as a POC for the business intelligence within Delivery function.
Update Management Information on various cloud forums like Share Point, Google Appsheets, spreadsheets, and JIRA.
Create and automate reports/dashboards catering to MIS/BI needs of Project Management
Drive high compliance for all the processes related to Project Management.
Share information between finance and Project Management teams with high data sanity and cadence.
Drive business decisions using learnings/findings from historical data/experience.
Identifying the need for Process standardization /Process improvements for Efficiency improvement in the domain of Project Management
Create Standard Operating Procedures (SOPs) and Templates; and evolve the existing ones within the D&S function
Provide training to all the team members on SOPs and ensure the smooth adaptability of process introduced / updated
Requirements/Skillset:
Bachelor's degree required (preferably with quantitative/statistical major/minor disciplines) with 1 to 2 years of experience in data management and analysis
Fair knowledge and experience with Six Sigma methodology
Experience in handling Big Data using basic SQL queries, automation using basic VBA macros or any other back-end language, data management skills such as data cleaning and data warehousing, and data modelling & visualization skills using Power BI/DAX queries.
Adept in advance MS Excel and MS PowerPoint
Ability to analyze trends and provide reasonable forecast
Should be able to create Business Intelligence data flows using automated triggers and integration between tools
High adaptability to new tools and display natural interest in exploring latest technologies
Ability to work in a fast-paced and dynamic environment
Should display high degree of ownership and autonomy while handling business processes
Ability to liaise with various internal/external stake holders
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