What are the responsibilities and job description for the Data Analyst at Best High Technologies LLC (BHT) position at CSI-Cancer: USC Michelson Center Convergent Science Institute in Cancer?
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About Us
Best High Technologies LLC is a fast-growing company leveraging data to drive innovation and customer success.
The Role
We’re seeking a curious, detail-oriented Data Analyst to transform raw data into strategic insights. You’ll collaborate with cross-functional teams (Marketing, Product, Sales, Operations) to identify trends, build reports, and recommend data-driven solutions that impact business growth and efficiency.
Key Responsibilities
Analyze & Interpret Data:Extract, clean, and analyze large datasets from SQL databases, CRM platforms , and web analytics tools .
[Company Name] celebrates diversity and is committed to creating an inclusive environment. We do not discriminate based on race, religion, gender, age, sexuality, or disability.
About Us
Best High Technologies LLC is a fast-growing company leveraging data to drive innovation and customer success.
The Role
We’re seeking a curious, detail-oriented Data Analyst to transform raw data into strategic insights. You’ll collaborate with cross-functional teams (Marketing, Product, Sales, Operations) to identify trends, build reports, and recommend data-driven solutions that impact business growth and efficiency.
Key Responsibilities
Analyze & Interpret Data:Extract, clean, and analyze large datasets from SQL databases, CRM platforms , and web analytics tools .
- Build Dashboards & Reports: Create intuitive visualizations to track KPIs and communicate findings to stakeholders.
- Perform Deep-Dive Analyses:Conduct ad-hoc analyses to uncover trends, root causes of business problems, and growth opportunities.
- Collaborate Strategically:Partner with teams to define metrics, design A/B tests, and measure the impact of initiatives.
- Automate & Optimize: Identify opportunities to streamline data collection, reporting processes, and data quality.
- Present Insights:Translate complex analyses into clear, actionable recommendations for technical and non-technical audiences.
- Experience: 0-3 years in data analysis, business intelligence, or a similar role.
- Technical Skills:
- Proficiency in SQL (complex queries, joins, optimization).
- Advanced skills in data visualization (Tableau, Power BI, Looker, or similar).
- Experience with spreadsheet tools (Excel/Google Sheets; pivot tables, formulas).
- Knowledge of statistical analysis (regression, significance testing).
- Analytical Mindset: Ability to frame business questions, test hypotheses, and solve ambiguous problems.
- Communication: Strong storytelling skills to present data insights effectively.
- Attention to Detail: Rigorous approach to data validation and accuracy.
- Experience with Python/R for data manipulation (Pandas, NumPy) or statistical modeling.
- Familiarity with ETL processes and data warehousing (e.g., BigQuery, Snowflake, Redshift).
- Knowledge of A/B testing and experimentation frameworks.
- Background in [your industry, e.g., SaaS metrics, finance, supply chain logistics].
- Experience with dbt (data build tool) or Git.
- Competitive salary [e.g., performance bonuses, stock options].
- [Flexible PTO / Health insurance / 70(k) matching / Remote work culture].
- Opportunities for professional growth and mentorship.
- A collaborative, data-driven culture where your insights shape decisions.
[Company Name] celebrates diversity and is committed to creating an inclusive environment. We do not discriminate based on race, religion, gender, age, sexuality, or disability.
