Job Location: Houston, TX
Data Analyst / Engineer Job Description
Smith is actively looking for a 3+ years’ experience Data Analyst / Engineer who will be responsible for data analytics project development, along with researching external methods, processes and software to provide solutions to support our fast growing business. You are expected to build out sophisticated analytics systems utilizing advanced BI & Analytics tools . You will act as a hands-on tech lead who can own, drive, and develop insights from conception to release as well as a catalyst for insights innovation, aligned to both tactical and strategic business insights efforts.
The primary job responsibilities in this role include but not are not limited to:
- Design, build, and maintenance of business dashboards and reports by ensuring data integrity and accuracy is in place.
- Learn and understand a broad range of data resources and know which, when and how to use them to build the data analytics reports.
- Research, design, plan and build ETL pipelines that produce meaningful data sets that benefit different business sectors of Smith.
- Communicate with stakeholders to define and execute the critical insights required to make informed business decisions
- Manipulate and analyze complex, high-volume, high-dimensional data from various sources using different tools and data analysis techniques.
- Ensuring insights are both actionable and measurable. You should be able to build these insights and hypothesis with awareness of practical implementation and implications for the business.
Required Skills:
- Bachelor or Master Degree in Computer Science, Data Science, Statistics, Business Analytics, Applied Mathematics, or other engineering fields.
- Strong experience (at least 2 years) in building analytical reports and dashboards using Tableau is a must.
- Working knowledge of Data Visualization tools such as Cognos, PowerBI, Google Data Studio, or Amazon QuickSight is a plus.
- At least 2 years hands on experience in SQL, Stored Procedure, ETL, and R or Python for data analysis.
- At least 2 years hands on experience as developer with relational and non-relational DBMS such as Oracle, MySQL, PostgreSQL and MongoDB etc.
- Ability to apply statistical, analytical and technical expertise to product and business problems.
- Prior experience structuring and leading impactful data analytical projects independently.
- Great written and oral communication skills, particularly the ability to synthesize complex problems/scenarios into easy-to-understand concepts.
- Ability to facilitate discussion, drive consensus and build partnerships with business users.
- Ability to handle multiple tasks simultaneously and switch between tasks quickly.
- Detail oriented and able to work in group projects and take direction.
If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us!
We are an Equal Opportunity/Affirmative Action Employer.
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