Exploring Tech Career in Data Analytics and Science
summary
Seven years of hands‑on experience across consulting and startups, concrete tools like SQL Python Excel and cloud pieces such as BigQuery and Airflow, and delivered outcomes: built data pipelines, ran A/B tests that drove revenue growth, and produced predictive sales models used for planning. Practical hiring advice includes publishing GitHub projects, matching resumes to job keywords, getting referrals via targeted LinkedIn outreach, and showing stakeholder communication and domain specialization rather than vague examples.
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chapters (13)
- 0:00Introduction
- 1:46Tech industry trends
- 3:56Continuous learning
- 4:19Data analytics roles
- 7:49Skills across data roles
- 8:56Industries hiring data pros
- 12:04Skills for data analysts
- 17:40Stand out in applications
- 19:52Job search strategies
- 20:52Career success roadmap
- 22:56Staying updated
- 23:38Networking and branding
- 24:39Q&A
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