Data Analyst
Mumbai, India
Verisk
The world's most effective and responsible data analytics company in pursuit of our customers' most strategic opportunities.Company Description
Wood Mackenzie is the global leader in data, analysis and consulting across the energy, chemicals, metals, mining, power and renewables sectors.We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.
Job Description
This role will form part of the Data Assets group and will work closely with our Research, Data and Product functions. Data Assets teams build, enhance, and maintain the data that underpins Wood Mackenzie’s unique understanding of the energy and natural resources sectors. Data is the key driver behind Wood Mackenzie’s mission to transform the way we power the planet. The successful candidate will be working on challenges around data management, pipelines, analysis and data quality as part of one of our data teams:
· Upstream
· Commodities
· Metals and Mining
· Geotechnical
· Geospatial
· Power and Renewable
· Lower 48
Key Responsibilities
- Form a strong understanding of the data landscape, domain and workflows for your business area, customers and products
- Provide specialist skills in data analysis, visualisation and data management, delivering new Analytics through connected datasets and integrated pipelines
- Advocate for quality, take responsibility for the ownership or of data and whilst fulfilling complex data requests on time and with high standards
- Identify, prioritise and document opportunities for efficiency, optimisation, migration or improvement in our systems, processes and datasets
- Work in an agile, collaborative manner to foster an environment of continuous improvement and incremental delivery, measuring success
- Core user of Data/GIS platform and ensures best practices are applied to utilise or maintain databases, tools, models and processes solutions from data sourcing to client delivery
- Collaborate with colleagues in Research, Data, Product and Engineering to deliver Data Assets while supporting junior colleagues
· Experience in data related roles, demonstrating customer focus and knowledge of core concepts around ingestion, cleansing, and data quality
· Strong skills in Relational and NoSQL Database systems, with ability to query and analyse data using SQL or other techniques
· Expert skills in a data visualisation package (such as PowerBI)
· Worked in areas identifying and applying technology solutions to solve business problems using agile methodologies
· Excellent communication skills, including mentoring more junior colleagues and managing others’ workloads
· A keen interest and passion for learning new technologies or data skills like Python, understanding of AWS and APIs is an advantage
Qualifications
- Form a strong understanding of the data landscape, domain and workflows for your business area, customers and products
- Provide specialist skills in data analysis, visualisation and data management, delivering new Analytics through connected datasets and integrated pipelines
- Advocate for quality, take responsibility for the ownership or of data and whilst fulfilling complex data requests on time and with high standards
- Identify, prioritise and document opportunities for efficiency, optimisation, migration or improvement in our systems, processes and datasets
- Work in an agile, collaborative manner to foster an environment of continuous improvement and incremental delivery, measuring success
- Core user of Data/GIS platform and ensures best practices are applied to utilise or maintain databases, tools, models and processes solutions from data sourcing to client delivery
- Collaborate with colleagues in Research, Data, Product and Engineering to deliver Data Assets while supporting junior colleagues
- #LI-JA1
Additional Information
Wood Mackenzie is the global leader in data, analysis and consulting across the energy, chemicals, metals, mining, power and renewables sectors.
Founded in 1973, our success has always been underpinned by the simple principle of providing trusted research and advice that makes a difference to our customers. Today we have over 2,000 customers ranging from the largest global energy companies and financial institutions to governments as well as smaller market specialists.
Our teams are located around the world. This enables us to stay closely connected with customers and the markets and sectors we cover. Collectively this allows us to offer a compelling combination of global commodity analysis with detailed local market knowledge.
We are committed to supporting our people to grow and thrive. We value different perspectives and aspire to create an inclusive environment that encourages diversity and fosters a sense of belonging. We are committed to creating a workplace that works for you and encourage everyone to get involved in our Wellness, Diversity and Inclusion, and Community Engagement initiatives. We actively support flexible working and are happy to consider alternative work patterns, taking into account your needs and the needs of the team or division that you are looking to join.
Hear what our team has to say about working with us:
https://www.woodmac.com/careers/our-people/
We are proud to be a part of the Verisk family of companies!
At the heart of what we do is help clients manage risk. Verisk (Nasdaq: VRSK) provides data and insights to our customers in insurance, energy and the financial services markets so they can make faster and more informed decisions.
Our global team uses AI, machine learning, automation, and other emerging technologies to collect and analyze billions of records. We provide advanced decision-support to prevent credit, lending, and cyber risks. In addition, we monitor and advise companies on complex global matters such as climate change, catastrophes, and geopolitical issues.
But why we do our work is what sets us apart. It stems from a commitment to making the world better, safer and stronger.
It’s the reason Verisk is part of the UN Global Compact sustainability initiative. It’s why we made a commitment to balancing 100 percent of our carbon emissions. It’s the aim of our “returnship” program for experienced professionals rejoining the workforce after time away. And, it’s what drives our annual Innovation Day, where we identify our next first-to-market innovations to solve our customers’ problems.
At its core, Verisk uses data to minimize risk and maximize value. But far bigger, is why we do what we do.
At Verisk you can build an exciting career with meaningful work; create positive and lasting impact on business; and find the support, coaching, and training you need to advance your career. We have received the Great Place to Work® Certification for the fifth consecutive year. We’ve been recognized by Forbes as a World’s Best Employer and a Best Employer for Women, testaments to our culture of engagement and the value we place on an inclusive and diverse workforce. Verisk’s Statement on Racial Equity and Diversity supports our commitment to these values and affecting positive and lasting change in the communities where we live and work.
Verisk Analytics is an equal opportunity employer.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.
http://www.verisk.com/careers.html
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs AWS Consulting Data analysis Data management Data quality Engineering Machine Learning NoSQL Pipelines Power BI Privacy Python Research SQL
Perks/benefits: Career development Equity Flex hours Flex vacation Insurance Wellness
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