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Remote Esg Data Analyst Jobs in Indiana (NOW HIRING)

$45K - $55K/yr

We're looking for a Senior Data Analyst to own analyses end to end, build durable reporting ... Fully remote position - we swear! * Competitive compensation package including an equity incentive ...

Remote (Preferred location Indiana) Department: Revenue Cycle Administration Schedule: Full-Time, Days Salary: $72,283.20 - $100,759.30 per year #LI-Remote #internalops Life at Ascension: Where ...

New

Analyst-Data

Indianapolis, IN · On-site +1

$72K - $100K/yr

Remote (Preferred location Indiana) Department: Revenue Cycle Administration Schedule: Full-Time, Days Salary: $72,283.20 - $100,759.30 per year #LI-Remote #internalops How you'll make an impact in ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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Remote Esg Data Analyst information

What is a remote ESG data analyst?

Remote ESG Data Analysts are professionals who collect, analyze, and interpret data related to Environmental, Social, and Governance (ESG) factors, often working from a remote location. They support organizations in evaluating their sustainability practices, compliance, and ESG performance by providing actionable insights from data. Their work helps companies make informed decisions, improve their ESG scores, and meet regulatory or stakeholder expectations. Remote ESG Data Analysts use various tools and software to access datasets, generate reports, and collaborate with teams virtually.

What skills and qualifications are needed to be a remote ESG data analyst?

To thrive as a Remote ESG Data Analyst, you need strong analytical skills, proficiency in data management, and a background in finance, sustainability, or a related field. Familiarity with ESG reporting frameworks (like GRI, SASB), data visualization tools (such as Power BI or Tableau), and advanced Excel or Python skills are typically required. Exceptional attention to detail, effective remote communication, and the ability to work independently are vital soft skills. These competencies enable accurate ESG data analysis, clear reporting, and valuable insights that support responsible investment and corporate sustainability.

How does a remote ESG data analyst typically collaborate with other departments or stakeholders?

As a Remote ESG Data Analyst, you regularly collaborate with cross-functional teams such as sustainability, investor relations, compliance, and IT. Much of the work involves gathering ESG (Environmental, Social, and Governance) data from various sources, validating its accuracy, and communicating findings or recommendations to both internal and external stakeholders. Effective communication and virtual teamwork skills are crucial since you’ll often participate in video meetings, share reports, and provide data-driven insights to support organizational ESG initiatives. This collaborative approach ensures that ESG strategies are well-integrated across the company.

What is the difference between Remote Esg Data Analyst vs Remote Sustainability Data Analyst?

AspectRemote Esg Data AnalystRemote Sustainability Data Analyst
Required CredentialsBachelor's in Data Science, Environmental Science, or related fields; familiarity with ESG frameworksBachelor's in Sustainability, Environmental Science, or related fields; knowledge of sustainability metrics
Work EnvironmentRemote, often within finance, consulting, or corporate sectorsRemote, typically in environmental organizations, NGOs, or corporate sustainability teams
Employer & Industry UsageFinancial institutions, investment firms, corporations focusing on ESG reportingEnvironmental agencies, NGOs, companies with sustainability initiatives

The main difference is that a Remote Esg Data Analyst focuses on analyzing environmental, social, and governance data primarily for investment and corporate reporting, while a Remote Sustainability Data Analyst concentrates on broader sustainability metrics and initiatives, often within environmental organizations or sustainability departments. Both roles require similar skills but serve different industry needs.

What are the most commonly searched types of Esg Data Analyst jobs in Indiana?

The most popular types of Esg Data Analyst jobs in Indiana are:

What cities in Indiana are hiring for Remote Esg Data Analyst jobs?

Cities in Indiana with the most Remote Esg Data Analyst job openings:

Data Analyst

Indianapolis, IN • On-site, Remote

Mater Dei Catholic High School
51 - 200 employees

Full-time

Medical, Retirement

Posted 19 days ago


Job description

Position Open Only to Americans: Data Analyst

remote (based in the US).

Regarding ourselves: we wish to transform industries by using data's power. Every statistic tells a story, and we are looking for a Data Analyst who can find those tales, expose latent trends, and offer intelligent, fact-based recommendations to bolster our company decisions. We might be seeking for you if you are a data analyst with an analytical mind that enjoys a good challenge and loves to organize things.

Your duties:

Exensive data analysis helps one find trends, anomalies, and patterns that might be turned into insightful knowledge. Translating intricate data sets into practical insights will help you make important business decisions.

Design and present visually striking dashboards, reports, and presentations using data to tell gripping narratives. Let our group "see" the future with sensible, easily understood images.

Cooperation is absolutely necessary. Working with different departmentsmarketing, finance, operations, etc.you will learn their needs and then offer data-based insights that affect corporate performance.

By exposing trends that will show up in the future, predictive modeling can enable our teams to keep one step ahead of the competition.

Look at ways we may improve our analytical tools, data management systems, and policies. Simplify processes to guarantee correct and fast data.

Work directly with top leadership to handle challenging ad hoc analysis projects and address urgent business concerns as they develop utilizing data in real time.

Could you please clarify what we actually need?

Candidates have to be found in America.

Your analytical thinking drives you to enjoy challenging sets and adore solving problems. You see trends and patterns others would overlook rather clearly.

Relevant Work Experience: For at least two years, you should have been employed as a statistician, data analyst, or related field practitioner.

technically adept; conversant in Excel, R, Python, SQL, etc., data analytics tools. One perk is being able to employ visual aids as Looker, Power BI, or Tableau.

With the correct set of communication skills, mountains of unprocessed data can become actionable insights everyone on your teamincluding C-suite executivescan grasp.

Your insatiable questions push you to hunt "what's the story behind this data" and "how can I use this information to make a difference?"

Methodical: Before drawing any conclusions, you search for little discrepancies and verify all datasets for accuracy.

Our Reasons for Your Contentment in Hiring Our Team

Work from any US location and keep a good work-life balance.

Here you can develop professionally, have access to innovative tools, and refine your abilities in a motivating surroundings.

Help a vibrant, cooperative team that celebrates fresh ideas, many points of view, and teamwork succeed.

Leverage a generous pay and benefits package covering wellness, retirement, and healthcare.

Impact: Your effort directly determines the company's course of development. The strategic choices taken will be much influenced by you.

Techniques of Application: Are you ready to find the truth and propel transformation? The possible worth of your skills interests us and we would want further information about them. Together with a brief cover letter summarizing your experience using statistics to solve problems and why you would be a value to our team, kindly include your resume.

Attention: Only US candidates are qualified for this post.