BI Analyst - Renewable Energy

Shell is seeking a BI Analyst for its Renewable Energy team in Chennai, India. The role requires a background in renewable energy and strong data analysis skills. Candidates should have a master's degree and at least three years of relevant experience. The analyst will support data-driven commercial decisions, collaborate with stakeholders, and perform techno-economic modeling. This position offers guidance for professionals transitioning into data science.
About The RoleAre you a renewable industry professional with a passion for data
Are you motivated to apply your technical knowledge and experience in renewables space to help make commercial decisions
Are you aspiring to build a career in data science solving challenging problems associated with energy transition
If your answer is yes
read on
NOTE
This role within Finance Operations Commercial Data Science team is best suited for renewable industry professionals who are motivated to transition to a data science career
Relevant experience in renewable energy domain is a must
Strong data analysis skills are required
Exposure to data science via coursework
certification or volunteer projects would be an advantage
Prior data science experience as such is not required
Employees in this role would be provided guidance and support to transition into data science roles in a structured manner as appropriate
This is a non
MCDS skill
pool role with Commercial Data Science team
General background on positionThis position is part of Shell

s growing Finance
Data Operations Commercial Data Science Team
With 200
data scientists based primarily in Chennai and Krakow
Commercial Data Science team is a key digitalization partner to Shell

s Upstream
Integrated Gas
Renewables and Downstream business units
This team delivers fit for purpose data science solutions from proof
of
concept to deployment for Shell

s global assets and provide tangible commercial value to business units within Shell by enabling data
driven decision making
The analyst will join a high growth global data science team to support senior stakeholders with data driven commercial decision making in renewable energy business
Key responsibilities of the roleAnalyze diverse data sets related to renewables business and deliver customer recommendations for renewable energy solutions
Perform techno
economic modelling rapidly to screen onsite energy generation and storage opportunitiesCollaborate effectively with stakeholders and experts from various geographies and disciplines
Articulate insights and recommendations from data analysis in a business
friendly language using impactful visualization techniques
RequirementsEducation
ExperienceStrong background in quantitative skills gained from Tier 1 institutesMaster

s degree in science
business
economics
quantitative finance OREngineering with strong experience in solving business problems by statistical or mathematical approach
3
years of relevant experience in renewable energy domain is a mustIndustry expertiseExperience in renewable energy space with exposure to any one or more of the following functional areas
Engineering
design of renewable energy solutions
energy efficiency measuresTechno
economic modelling
optimization of renewable energy asset configuration based on defined economic parameters
scenario
and sensitivity analysisBusiness development
solutions sales
marketingSkills in using relevant tools such as Helioscope
PVsyst
Homer Grid
Energy Toolbase
PowerBI
MS Excel would be advantageousAnalytical SkillsPassion for data with strong analytical mindset and focus on drilling data for commercial insightDemonstrated ability to work with large and diverse data setsLearner mindset with demonstrated ability to identify skill
experience gaps
take proactive steps to close them and quickly deploy skills the from new learning to business problems
Stakeholder Management SkillsHave an entrepreneurial approach towards helping a growing pool of stakeholders understand value from data science approaches for renewables business
Fluent in communicating
verbal and written
with other data science team members and global stakeholders who could be from diverse engineering and business backgroundsAbility to articulate the assumptions
risks
and upsides of the analysis recommendationsUnderstand business KPIs
frameworks and drivers for performanceRemain engaged with stakeholders and be resilient in the face of delays
setbacks
and ambiguity