Data Analyst Jobs in Energy: Demand, Pay & Skills
Part of Plutarch’s ongoing analysis of skill demand in energy hiring — last updated 5 October 2026, based on 60 tracked postings.
As of 5 October 2026, Plutarch tracked 60 unique open Data Analyst postings at energy employers. 5 postings disclosed annual pay, with a United States median of USD 120,000.
This market for Data Analyst roles spans a wide mix of industries and functions within energy, with the largest concentration of postings in the United States and a smaller but notable spread across France, India, Italy and the United Kingdom. Titles range from internships to senior and lead roles, with no executive-level postings present. Many postings pair the core analyst title with a specific domain such as pricing, credit, sourcing or operations, suggesting employers are seeking analysts who can apply data skills to a particular business function rather than generalists alone.
Open postings
Where
- United States · 14
- India · 9
- France · 5
- Italy · 5
- United Kingdom · 4
- Other or not stated · 23
Seniority
- Early career · 8
- Level not stated in title · 29
- Senior, lead, staff or manager · 23
Disclosed pay by country · annual
| Country | Lowest to highest employer midpoint | Median | Postings stating pay |
|---|---|---|---|
| United States | USD 110,000–132,000 | USD 120,000 | 5 of 12 |
Directional, not conclusive. Each figure is the midpoint of a salary range an employer disclosed in a public job posting, derived from public market sources and rounded to the nearest thousand. Samples are small, so a country appears only when at least 5 open postings disclose annual pay. At these sample sizes, do not compare one role’s median against another’s — the difference between them is smaller than the error on either.
How many employers state pay
- United States · pay stated in 5 of 12 postings we could read
- India · pay stated in 0 of 8 postings we could read
- France · pay stated in 2 of 5 postings we could read
- Italy · pay stated in 1 of 4 postings we could read
- United Kingdom · pay stated in 0 of 4 postings we could read
Counted from the same open postings as above, leaving out postings whose text we could not read for pay. Pay disclosure tracks local pay-transparency law more closely than employer policy, so a low rate is not evidence that employers here pay less.
Who is hiring
| Employer | Open postings |
|---|---|
| S&P Global | 5 |
| Baker Hughes | 4 |
| Octopus Energy | 4 |
| Siemens Energy | 4 |
| Axpo | 3 |
| Kpler | 3 |
| Aurora Energy Research | 2 |
| bp | 2 |
| Chevron | 2 |
| National Grid | 2 |
| Southern California Edison | 2 |
| TotalEnergies | 2 |
| Other employers | 25 |
How these roles are titled
The titles employers use for this role, most repeated first. Titles shown without a count appeared once.
- Senior Data Analyst · 5 postings
- Data Analyst · 3 postings
- [Keppel Internship Programme 2027] Intern, Data Analytics (Jan - May 2027)
- 2027 Summer PMO/Data Analyst Intern (Chicago, IL)
- Account Executive DACH | Data Analytics SaaS & Sustainability
- ALTERNANT- Product Owner Data Analyst
- Associate Data Analyst
- Associate Data Analyst - Energy and Freight Markets
- Associate, Asset Management (Data Analyst)
- BI and Data Analyst
- Cordant Data Analytics Platform Product Manager
- Data Analyst - Pricing & Revenue Assurance
- Data Analyst Intern - Real Estate
- Data Analyst, Mandarin Transcripts
- Data Analyst, Transcripts APAC (Mandarin Workflow)
What employers ask for
Skills and tools named in the text of 43 open postings we could read in full, most named first.
| Skill or tool | Postings naming it | Employers |
|---|---|---|
| SQL | 28 of 43 | 19 |
| Power BI | 21 of 43 | 16 |
| Python | 21 of 43 | 15 |
| Excel | 16 of 43 | 13 |
| Machine learning | 10 of 43 | 6 |
| SAP | 8 of 43 | 6 |
| Statistics | 7 of 43 | 7 |
| Tableau | 7 of 43 | 7 |
| ETL / ELT pipelines | 7 of 43 | 6 |
| Azure | 5 of 43 | 5 |
| Energy trading / power markets | 5 of 43 | 5 |
| Git | 5 of 43 | 4 |
| Snowflake | 5 of 43 | 3 |
A skill counts when the posting names it anywhere — requirements, role description or the employer’s own introduction. A skill is shown only when at least 3 postings from at least two employers name it. Postings whose full text we did not read are left out of these counts rather than counted as asking for nothing.
Patterns in the job titles
- Strategic sourcing data analysis
- Data analytics internships aimed at graduate-level or student talent
- Operations-focused data analysis
- Market data analysis
Data Analyst job description template
An outline to start from. The requirements are the skills energy employers most often name for this role, with how often each is named — not a model's guess.
Already have a draft? Paste it for a hiring-feasibility brief and a sharpened version. For the credential line, see which credentials the law requires, and where.
What the postings suggest about filling this role
With a large share of titles carrying no seniority marker and a substantial junior and internship pipeline, entry into this market looks relatively open, though the sizeable cluster of senior, lead and principal titles indicates real competition for experienced analysts able to work across specialised business domains. The spread of postings across many countries and functional niches such as sourcing, credit and operations may add difficulty in matching candidates to narrow domain requirements.
Read from employer demand only. These sources show what employers advertise, not how many people are available to hire, so this is a reading of the vacancies rather than a measure of scarcity.
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Check your role — two briefs freeCounts are unique open postings seen in the last three weeks, taken from the named employers’ own published job postings; a vacancy posted in several places is counted once. Employers are named because they published these postings publicly themselves. The written summary is AI-generated from those postings and contains no figures and no employer names. Posting figures are direct counts; pay figures are the median and range of the salaries those employers disclosed. Terms of use.