Business
Business Analyst
Translate business needs into clear requirements.
- Requirements
- Process mapping
- SQL
Entry level+Explore
Data · Role guide
Data Analyst: role requirements, portfolio ideas and interview preparation.
Data analysts turn questions into analysis, communicate findings and support decisions. Strong preparation is not just learning a tool: it is showing how you used evidence to answer a real question.
Role at a glance
Data Analyst
- Key skills
- SQL, Excel, Power BI
- Experience
- Entry level → Early career → Mid level
- Markets
- US · Canada
- Roadmap
- 4 stages
Last updated Oct 13, 2026 · Draft, awaiting subject-matter review
01
Who this role is for
- 1Graduates in business, economics, statistics or STEM
- 2Professionals who already work with spreadsheets and reports
- 3Career changers who enjoy structured problem-solving
02
What the role may involve
The balance varies by team, employer and level.
- 1Collects, cleans and joins data from different sources
- 2Builds dashboards and recurring reports
- 3Answers business questions with analysis and clear charts
- 4Explains findings to non-technical stakeholders
03
Where are you stuck?
04
Core skills
Commonly useful areas for this role. Individual employers ask for different combinations. Select a skill to see what it means in practice.
Core skill
SQL
Joins, aggregations, window functions and query performance basics.
05
Tools
- SQL
- Excel
- Power BI
- Tableau
- Python (pandas)
- Google Sheets
- BigQuery
06
Entry routes
- Route A
Graduate route
Analytical degree plus a portfolio of two or three analyses.
- Route B
Internal move
Move from operations, finance or marketing into an analyst role.
- Route C
Career change
SQL and BI foundations, then domain-specific case studies.
07
Learning roadmap
- Stage 13–5 weeks
Foundations
- Spreadsheets
- SQL basics
- Descriptive statistics
- Stage 24–6 weeks
Tools
- Advanced SQL
- Power BI or Tableau
- Data cleaning
- Stage 34–6 weeks
Proof
- Two business case studies
- One live dashboard
- Stage 42–4 weeks
Interview
- SQL tests
- Case questions
- Storytelling
Durations are typical ranges for focused part-time effort, not commitments. Your plan reflects your starting point.
08
Projects that prove the skills
- 01
Business dashboard
A dashboard on a public dataset with a written recommendation.
- 02
SQL case study
Answer five real business questions with documented queries.
- 03
A/B test readout
Analyse an experiment and explain what to do next.
09
Portfolio proof: a sample project rubric
Illustrative rubric for a question-led analysis. One project doesn't guarantee a job, but it gives you something real to discuss.
- Starts from a clear business question
- Documents assumptions and data limitations
- Reproducible steps someone else could follow
- One clear visual that answers the question
- A concise recommendation, with what you'd check next
10
Resume keywords
Use these only where they honestly describe your experience.
- SQL
- Power BI
- Tableau
- Excel
- Data cleaning
- KPI reporting
- Dashboards
- Stakeholder communication
- Python
- A/B testing
11
Interview preparation
Topics interviews for this role may include. Exact stages and formats vary by employer, team and level: this is preparation guidance, not a promised sequence.
Technical
- Joins and window functions
- Data cleaning choices
- Dashboard design
Case
- Why did a metric drop?
- Sizing a problem
- Defining KPIs
Behavioural
- Explaining data to non-technical teams
- Handling unclear requests
12
Career progression
- Level 1
Junior Data Analyst
Builds reports and answers defined questions.
- Level 2
Data Analyst
Owns analyses for a business area.
- Level 3
Senior Analyst
Shapes metrics and influences decisions.
- Level 4
Analytics Lead / Data Scientist
Leads analytics or moves into modelling.
13
Markets
14
Go beyond the role overview
The full role brief brings together verified employer examples, market-specific compensation context, location signals, interview-stage preparation, adjacent titles and an application plan, where current evidence is available. Our team prepares it with you on request.
| What's covered | This free guide | Full brief, on request |
|---|---|---|
| Role overview and skill areas | Yes | Yes |
| Sample practice task | Yes | Yes |
| Employer examples | Not shown until verified | Verified examples, where available |
| Compensation context | Not currently available | Source-dated context by level and location, where available |
| Interview stages | General categories | Stage preparation, where evidence supports it |
| Location signals | Country guides | Location comparison, where evidence exists |
| Training plan | Free short plan | A plan built with you |
Employer examples and pay for Data Analyst aren't published here yet. We only show them with a source, date, level and location, and say so when data isn't available.
Employer examples and market information are provided for research. They do not imply a partnership, current vacancy or guaranteed interview.
15
What you get with ByteWave
Once you join, everything is built around becoming a Data Analyst.
- 1A Data Analyst roadmapThe skills, tools and AI skills this role needs, in priority order.
- 2Resume and LinkedIn for the roleRebuilt around Data Analyst evidence and honest keywords, in a structure that is easy to parse.
- 3Projects that prove the skillsA plan of projects like the ones above, reviewed as you build.
- 4Mock interviews with professionalsPractice on Data Analyst interview topics, run by working professionals.
- 5Applications made for youOur team applies to relevant Data Analyst roles and contacts recruiters on your behalf.
- 6Support through to placementHelp at interview and offer stage, with honest advice throughout.
Start a placement plan for Data Analyst.
Get My Placement Plan16
Related services
- Resume & ATSA resume built around your target role and readable by applicant tracking systems.
- Skill DevelopmentA role-specific AI skills map and a prioritised roadmap to close the gaps that matter most.
- Portfolio & ProjectsProjects that prove role-relevant skills, presented well.
- Interview PreparationRole-specific preparation and realistic practice with feedback.
17
Relevant jobs
No verified Data Analyst openings are listed right now. Browse all current jobs.
How ready are you for Data Analyst?
Check seven readiness areas and see where to focus first.
18
Frequently asked questions
No. ByteWave does not guarantee employment, interviews or placement. We help you choose the right direction, close readiness gaps and target relevant opportunities, which strengthens your placement potential. How placement support works
Start with the career assessment or a readiness check. Both compare your background against the role and show strengths and likely gaps, so you can decide before investing more time. Take the career assessment
SQL and a BI tool come first for most entry roles. Python is increasingly expected for mid-level roles and makes your profile stronger.
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