Data Analyst
How well this resume fits
Compared with a sample resume. Compare your own
Not sure The job lists no required items.
How close the work is
Weak4 of 11 named skills are shown in described work and 2 are only listed or mentioned (rule: met = 1, partial = ½; strong ≥ 75%, moderate ≥ 50%).
How strong your resume shows it
StrongOf 8 supported items, 4 have strong evidence (a reported result or a confirmed answer) and 2 moderate (used in a described task).
What the job asks for
| What the job asks | Required? | Do you have it? | From your resume |
|---|---|---|---|
| Skill statistical analysis Conduct statistical analysis and build predictive models to forecast future trends | Not stated | Not sure The résumé doesn't mention statistical analysis. That means unknown, not lacking. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Education Bachelor's Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field | Not stated | Yes B.S. (A past date (2020) is listed; the resume doesn’t say “expected”, so this is treated as completed.) (Parsed from lower-quality page text; check it against the original posting.) | Lakeshore State University B.S. in Statistics, minor in Economics | 2016 – 2020 |
| Experience 2+ years of experience 2+ years of experience as a Data Analyst or in a related role | Not stated | Yes Dated Experience entries add up to 6.7 years (overlaps counted once); the job asks for 2+. (Parsed from lower-quality page text; check it against the original posting.) | Data Analyst Junior Data Analyst Data Analytics Intern |
| Skill SQL Strong proficiency in SQL, Python (with libraries like Pandas, NumPy, Scikit-learn) | Not stated | Yes The résumé shows SQL used with a reported result. (Parsed from lower-quality page text; check it against the original posting.) | Replaced a manual Excel carrier report with a scheduled Python and SQL job, saving the operations team about 8 hours a week. Built and maintain 14 Tableau dashboards on SQL Server for on-time delivery, carrier cost and warehouse throughput, used by 60+ managers each week. Pulled and cleaned patient visit data (about 2M rows a month) in SQL and Python for clinic scheduling reports. |
| Skill Python Strong proficiency in SQL, Python (with libraries like Pandas, NumPy, Scikit-learn) | Not stated | Yes The résumé shows Python used with a reported result. (Parsed from lower-quality page text; check it against the original posting.) | Replaced a manual Excel carrier report with a scheduled Python and SQL job, saving the operations team about 8 hours a week. Wrote a demand forecast in Python (pandas, statsmodels) for 120 lanes that cut forecast error from 22% to 14%. Pulled and cleaned patient visit data (about 2M rows a month) in SQL and Python for clinic scheduling reports. |
| Skill Pandas Strong proficiency in SQL, Python (with libraries like Pandas, NumPy, Scikit-learn) | Not stated | Yes The résumé shows pandas used with a reported result. (Parsed from lower-quality page text; check it against the original posting.) | Wrote a demand forecast in Python (pandas, statsmodels) for 120 lanes that cut forecast error from 22% to 14%. SQL (SQL Server, PostgreSQL), Python (pandas, NumPy, statsmodels, matplotlib), Tableau, Power BI, Excel (pivot tables, Power Query, XLOOKUP), Git, A/B testing, regression, forecasting, data cleaning, data quality checks |
| Skill NumPy Strong proficiency in SQL, Python (with libraries like Pandas, NumPy, Scikit-learn) | Not stated | Partly NumPy is listed on the résumé, but no described task uses it. (Parsed from lower-quality page text; check it against the original posting.) | SQL (SQL Server, PostgreSQL), Python (pandas, NumPy, statsmodels, matplotlib), Tableau, Power BI, Excel (pivot tables, Power Query, XLOOKUP), Git, A/B testing, regression, forecasting, data cleaning, data quality checks |
| Skill Scikit-learn Strong proficiency in SQL, Python (with libraries like Pandas, NumPy, Scikit-learn) | Not stated | Not sure The résumé doesn't mention Scikit-learn. That means unknown, not lacking. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Skill Tableau Experience with data visualization tools (e.g., Tableau, Power BI, Google Data Studio) | Not stated | Yes The résumé shows Tableau used with a reported result. (Parsed from lower-quality page text; check it against the original posting.) | Built a no-show analysis in Tableau that helped three clinics change reminder timing and lower no-shows by 11%. Built and maintain 14 Tableau dashboards on SQL Server for on-time delivery, carrier cost and warehouse throughput, used by 60+ managers each week. Loaded 30M trip records into PostgreSQL and used Python to study fares and tipping by time of day; published the findings with a Tableau Public dashboard. |
| Skill Power BI Experience with data visualization tools (e.g., Tableau, Power BI, Google Data Studio) | Not stated | Partly Power BI is listed on the résumé, but no described task uses it. (Parsed from lower-quality page text; check it against the original posting.) | SQL (SQL Server, PostgreSQL), Python (pandas, NumPy, statsmodels, matplotlib), Tableau, Power BI, Excel (pivot tables, Power Query, XLOOKUP), Git, A/B testing, regression, forecasting, data cleaning, data quality checks |
| Skill AWS Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus | Not stated | Not sure The résumé doesn't mention AWS. That means unknown, not lacking. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Skill Azure Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus | Not stated | Not sure The résumé doesn't mention Azure. That means unknown, not lacking. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Skill GCP Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus | Not stated | Not sure The résumé doesn't mention GCP. That means unknown, not lacking. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Excellent analytical and problem-solving skills | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
| Strong communication and interpersonal skills | Not stated | Not sure The rules can't check this against the résumé. (Parsed from lower-quality page text; check it against the original posting.) | Nothing found |
How the match was worked out
Coverage: what the job asks, what the résumé shows, what is left
52% of the weighted requirements are covered by résumé evidence. preferred: met 0, partly 0, missing 3 · required: met 6, partly 2, missing 3 · unknown: met 0, partly 0, missing 1
weight = 3 required / 2 preferred / 1 unknown, +1 emphasis (expert, strong, extensive…), +1 named in the job title, +½ per repeat (max +1); rating = 3 met, 2 partially met with the term in described work, 1.5 partially met (listed or mentioned), 0 unknown or mismatch; coverage = Σ weight×rating/3 ÷ Σ weight over rows that can be judged (work-authorization, location and clearance rows need your answer and are left out).
Missing from the résumé
- required r8 Strong proficiency in SQL, Python (with libraries like Pandas, NumPy, Scikit-learn) (weight 4.0)
- required r14 Excellent analytical and problem-solving skills (weight 4.0) missing: Problem solving
- required r15 Strong communication and interpersonal skills (weight 4.0) missing: Communication
- preferred r11 Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus (weight 2.0) missing: Cloud platforms
- preferred r12 Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus (weight 2.0)
- preferred r13 Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus (weight 2.0)
- unknown r1 Conduct statistical analysis and build predictive models to forecast future trends (weight 1.0) missing: Machine learning found: Forecasting
Only partly shown
- required r7 Strong proficiency in SQL, Python (with libraries like Pandas, NumPy, Scikit-learn) (weight 4.0)
- required r10 Experience with data visualization tools (e.g., Tableau, Power BI, Google Data Studio) (weight 3.0)
Needs your answer
Nothing depends on an answer.
What the role does (not weighted)
On the résumé: Spreadsheets, Data analysis, Dashboards, Reporting, Statistics, Forecasting
Not on the résumé: Databases, APIs, EDA, KPIs, Machine learning, Stakeholder management, Presentation, Data visualization, Collaboration
What the résumé says (as the rules read it)
Skills: Python (supported by outcome), SQL (supported by outcome), Tableau (supported by outcome), Excel (supported by outcome), pandas (supported by outcome), PostgreSQL (used in task), A/B testing (listed), Git (listed), Matplotlib (listed), NumPy (listed), Power BI (listed)
Roles: Data Analyst at Harborline Logistics (Jun 2022 – Present); Junior Data Analyst at Cedar Ridge Health Network (Jul 2020 – May 2022); Data Analytics Intern at Lakeshore State University, Office of Institutional Research (May 2019 – Aug 2019)
Years in dated roles: 6.7
Education: B.S. in Statistics (completed)
Certifications: Tableau Desktop Specialist, Google Data Analytics Professional Certificate
Quantified achievements: 4
On the résumé but not asked by this job: Operations, Healthcare, Dashboards, SQL querying, Supply chain, Data warehousing, Data cleaning, Active Directory, Finance, Data analysis, Research, Spreadsheets
Résumé terms the rules don't know: OH, Server, Network, Office, Access, NYC, Taxi Trip Analysis, Tableau Public, Harborline, Economics, Professional Certificate (matched by plain text only; tell us if one should be a skill)
Job description
This is a remote position. We are seeking a highly motivated and analytical Data Analyst to join our team. The ideal candidate will have a strong foundation in data analysis and visualization, with the ability to extract meaningful insights from complex datasets. This role will play a crucial part in supporting data-driven decision-making across the organization. Responsibilities: - Collect, clean, and transform data from various sources (e.g., databases, APIs, spreadsheets) - Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies - Develop and maintain dashboards and reports to track key performance indicators (KPIs) - Conduct statistical analysis and build predictive models to forecast future trends - Communicate data insights effectively to stakeholders through presentations, reports, and visualizations - Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions - Stay current with the latest data analysis tools and techniques Qualifications: - Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field - 2+ years of experience as a Data Analyst or in a related role - Strong proficiency in SQL, Python (with libraries like Pandas, NumPy, Scikit-learn) - Experience with data visualization tools (e.g., Tableau, Power BI, Google Data Studio) - Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus - Excellent analytical and problem-solving skills - Strong communication and interpersonal skills