scorecards jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-21, scorecards appears in 251 job postings indexed by Skillenai over the past 90 days — Program Manager has the most postings mentioning scorecards, with demand share down 1.2% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-21

Postings · last 90 days
251
Demand vs prior month
down 1.2% vs the prior 4 weeks
Top role · 10.0% of skill postings
Top hiring metro
Tallinn

Which roles want scorecards?

Upload your resume and Skillenai will show which roles your scorecards experience fits, which skills you already cover, and what is missing.

Frequently asked questions about scorecards

+Is scorecards in demand in 2026?

Yes. scorecards appears in 251 job postings indexed by Skillenai over the 90 days ending 2026-10-21. Program Manager accounts for the most postings mentioning scorecards (10.0% of all postings mentioning scorecards).

+What jobs require scorecards?

According to the Skillenai jobs index over the 90 days ending 2026-10-21, among roles with at least 20 postings, the highest shares mentioning scorecards are Credit Risk Manager (12.5% of that role’s postings mention scorecards), Data Governance Lead (10.0% of that role’s postings mention scorecards), Marketing Analytics Director (7.7% of that role’s postings mention scorecards).

+What skills are commonly paired with scorecards?

Across job postings indexed by Skillenai (90 days ending 2026-10-21), scorecards most often appears alongside dashboards, SQL, Power BI, data visualization, Tableau.

+Where is scorecards most in demand?

As of 2026-10-21, the metro areas posting the most jobs requiring scorecards are Tallinn, New York City, Orlando, Toronto, Bentonville, according to the Skillenai jobs index.

+How can I keep up with new scorecards content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning scorecards alongside the jobs index. You can subscribe to a daily email digest of new scorecards content from your Skillenai account.

+Which skills come before and after scorecards?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring scorecards — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around scorecards

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before scorecards

Before scorecardsExcel → scorecards: 3 observed employer moves with this skill pairSAS → scorecards: 3 observed employer moves with this skill pairMYSQL → scorecards: 2 observed employer moves with this skill pairsql → scorecards: 2 observed employer moves with this skill pairdata analysis → scorecards: 2 observed employer moves with this skill pairqualitative analysis → scorecards: 1 observed employer moves with this skill pairmulti-source ingest pipelines → scorecards: 1 observed employer moves with this skill pairroot cause investigations → scorecards: 1 observed employer moves with this skill pairscorecardsExcel: 3 movesExcel3 movesSAS: 3 movesSAS3 movesMYSQL: 2 movesMYSQL2 movessql: 2 movessql2 movesdata analysis: 2 movesdata analysis2 movesqualitative analysis: 1 movesqualitativeanalysis1 movesmulti-source ingest pipelines: 1 movesmulti-sourceingest pipelines1 movesroot cause investigations: 1 movesroot causeinvestigations1 moves

Skills after scorecards

After scorecardsscorecards → python: 2 observed employer moves with this skill pairscorecards → ETL: 2 observed employer moves with this skill pairscorecards → CSS: 2 observed employer moves with this skill pairscorecards → HTML: 2 observed employer moves with this skill pairscorecards → Tableau: 2 observed employer moves with this skill pairscorecards → a/b testing: 1 observed employer moves with this skill pairscorecards → best practices: 1 observed employer moves with this skill pairscorecards → data cleansing: 1 observed employer moves with this skill pairscorecardspython: 2 movespython2 movesETL: 2 movesETL2 movesCSS: 2 movesCSS2 movesHTML: 2 movesHTML2 movesTableau: 2 movesTableau2 movesa/b testing: 1 movesa/b testing1 movesbest practices: 1 movesbest practices1 movesdata cleansing: 1 movesdata cleansing1 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: Excel3
Before: SAS3
Before: MYSQL2
Before: sql2
Before: data analysis2
Before: qualitative analysis1
Before: multi-source ingest pipelines1
Before: root cause investigations1
After: python2
After: ETL2
After: CSS2
After: HTML2
After: Tableau2
After: a/b testing1
After: best practices1
After: data cleansing1

Roles most likely to require scorecards

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Credit Risk Manager312.5%
Data Governance Lead210.0%
Marketing Analytics Director27.7%
Product Operations Manager27.7%
People Analytics Manager27.4%
Business Analytics Manager46.5%
Analytics Lead35.2%
Data Governance Manager14.8%
Data & Analytics Engineer14.5%
Data Analytics Director14.5%

Roles with the most scorecards postings

RolePostings mentioning skillShare of skill postings
Program Manager2510.0%
Business Analyst93.6%
Quality Assurance Specialist83.2%
Data Analyst72.8%
Retail Analytics Manager72.8%
Analytics Manager62.4%
Data Scientist62.4%
Analytics and Modeling Analyst52.0%
Product Manager52.0%
Technical Program Manager52.0%

Top companies posting jobs requiring scorecards

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring scorecards
CompanyPostings · 90 days
Wise9
Accenture8
Affirm7
JJ6
General Motors5
Mammoth Brands4
Disney4
Fiserv3
Dexian3
Campbell Soup3

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for scorecards

NamePostingsShare
Tallinn83.2%
New York City62.4%
Orlando41.6%
Toronto41.6%
Bentonville31.2%
Nashville31.2%
Atlanta20.8%
Austin20.8%
Bengaluru20.8%

Skills commonly paired with scorecards

Explore related pages

How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-21. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning scorecards by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s scorecards postings by all scorecards postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,610 identified employers and covers 72% of earlier and 73% of latest indexed postings. Windows: 2026-06-23 to 2026-09-21 and 2026-07-21 to 2026-10-19 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.

source
Skillenai jobs index, deduplicated daily
entity_id
9c6764f7205332fc
data_as_of
2026-10-21
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index