Overview:
Summary/objective
The Data Analyst is responsible for collecting, processing, and analyzing large datasets to extract meaningful insights and support key business decisions. This role requires strong analytical skills, attention to detail and the ability to communicate effectively to cross department stakeholders. The Data Analyst will work closely with the existing internal development team, QA team, product management team and other members of the data and analytics team to ensure products are consistent, correct, and scalable. The Data Analyst will develop new KPIs and insights for use in internal tools and external offerings.
Essential functions
Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.
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Work with the product and leadership teams to develop new reporting and inform critical business decisions.
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Maintain and improve existing reporting and dashboards.
- Develop deep familiarity with the scale and limitations of existing data to highlight opportunities for data initiatives.
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Identify methods to enrich or improve data quality.
- Aid in exploratory and statistical analysis and help create/maintain predictive models.
- Perform ad-hoc analysis when required.
- Other Duties: Please note this job description is not designed to cover all possible activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Minimum Qualifications:
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Bachelor’s degree in Computer Science, Data Science, Analytics, Statistics or other quantitative field, or 2-3 years of equivalent work experience.
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Proven work history in data analysis.
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Strong SQL skills, especially MSSQL.
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Familiarity with BI Tools (Domo, Metabase) and creating pipelines to populate reports/dashboards.
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Experience with Snowflake.
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Data analysis and visualization skills.
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Experience cleaning, transforming and preparing data for analysis.
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A general curiosity and interest in data.
- Highly collaborative and excited by ambiguity.
Preferred Qualifications:
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Familiarity with Azure and related products.
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Knowledge of an additional language like: R, Python or Julia.
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Familiarity with statistical techniques like inference, correlation and regression analysis and time series forecasting.
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A solid understanding of source control and versioning.
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Incredible attention to detail with a problem-solving approach
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Ability to collaborate with and communicate effectively
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Proven ability to multi-task and prioritize.
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Ability to think creatively and to drive innovation.
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Comprehensive understanding of software craftsmanship ideals - clean code principles, unit testing fundamentals, design pattern selection and application, architectural pattern selection and application
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Familiarity with database design, management, warehousing and ETL/ELT a bonus!
Supervisory responsibilities
This role has no supervisory responsibilities.
Work environment
This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, printers.
Physical demands
Physical requirements include occasional lifting/carrying of 5 pounds; visual acuity, speech, and hearing; hand and eye coordination and manual operate a computer keyboard and basic office equipment. Subject to sitting, standing, reaching, walking, twisting, and kneeling to perform the essential functions. Working conditions are primarily inside an office environment.
Travel required
This position may require some limited travel.
Work authorization/security clearance requirements
N/A
Affirmative Action/EEO statement: The Company provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other status protected under applicable federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.