Collect, clean, validate, and analyze data to identify trends and business opportunities. Create reports and dashboards (Excel, SQL, Power BI/Tableau), monitor KPIs, document data sources/processes, and present insights to stakeholders while collaborating across teams.
A Data Analyst collects, organizes, analyzes, and interprets data to help an organization make informed business decisions. The role involves identifying trends, preparing reports, creating dashboards, and communicating insights to management and other teams.
Key Responsibilities:
- Collect, clean, and validate data from multiple sources.
- Analyze datasets to identify trends, patterns, and business opportunities.
- Create reports, dashboards, and data visualizations.
- Prepare regular and ad-hoc reports for management.
- Use Excel, SQL, and data visualization tools to analyze information.
- Monitor key performance indicators (KPIs) and business metrics.
- Identify data inconsistencies and recommend improvements.
- Collaborate with different departments to understand their data needs.
- Present findings and recommendations clearly to stakeholders.
- Maintain accurate documentation of data sources and analytical processes.
Qualifications:
- Bachelor’s degree in Data Analytics, Statistics, Business, Computer Science, or a related field preferred.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Knowledge of SQL and database systems.
- Experience with Power BI, Tableau, or similar visualization tools is a plus.
- Strong attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to manage multiple tasks and meet deadlines.
Employment Type: Full-time, with remote, hybrid, or on-site arrangements depending on the organization.
Similar Jobs
Cloud • Digital Media • Enterprise Web • Marketing Tech • Software
Lead product analytics for usage, activation, adoption, retention, and expansion. Define metrics, improve instrumentation, build reusable measurement frameworks, apply AI-first analytics workflows, design experiments and observational analyses, create monitoring/alerting, surface insights to influence product decisions, and mentor analysts.
Top Skills:
Ai AutomationAmplitudeCoding AgentsDbtHexLarge Language ModelsLlmsLookerPythonSegmentSnowflakeSQLTableau
Software • Cybersecurity
Build and maintain financial and operational datasets and Power BI dashboards; map metrics across eCommerce and engineering sources; support AOP, ARR, pricing and retention modeling; run CI/CD pre-production checks, monitor processes, and partner cross-functionally with Finance, Marketing/Retention, and Product.
Top Skills:
Ci/CdDaxDbt CoreGitJinjaPower BISnowflakeSQL
_0.png)
AdTech • Marketing Tech
Drive product and performance analytics for mobile app user acquisition: define core metrics, analyze campaign and product trends, build dashboards and data pipelines, support experiments and ML teams, automate reporting (including AI-powered workflows), and communicate findings and recommendations to stakeholders.
Top Skills:
AdjustApache AirflowAPIsAppsflyerEvent StreamsKochavaLogsLookerMySQLPower BIPythonSingularSnowflakeSQLTableauThoughtspot
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
