TECHEAD

Senior Data Analyst

TECHEAD Raleigh, NC

Direct message the job poster from TECHEAD

Kim Morden Oliver

Kim Morden Oliver

Senior Recruiter at TECHEAD

TECHEAD is celebrating over thirty years of incredible heritage, talent, and accomplishments! To learn more about TECHEAD, visit us at TECHEAD.com or on Glassdoor.


Senior Data Analyst (Lead)

Contract: 6 Months - Could extend or convert

Hybrid: 3 days on-site

Local Candidate Only

Raleigh, NC

No C2C Candidates


Techead is seeking a highly experienced Data Analyst with a strong focus on Snowflake, data wrangling, process improvement, and data literacy. This is a crucial role optimizing data infrastructure, enhancing data quality, and promoting data-driven decision-making for our client.


Responsibilities:

- Leverage Snowflake to design, implement, and optimize data models and pipelines

- Develop and execute Data Wrangling strategies to clean, transform, and prepare data for analysis

- Identify and implement Process Improvements to enhance data quality, accessibility, and governance

- Design and build Tableau dashboards and visualizations to drive insights and support decision-making

- Promote Data Literacy across the organization through training, workshops, and clear communication

- Collaborate with cross-functional teams to understand data needs and develop tailored solutions

- Stay current with emerging trends in data technologies, particularly in the Snowflake ecosystem

- Contribute to the development of data products and analytics use cases


Requirements:

- 3-5 years of experience in data analysis, with a strong focus on data wrangling and process improvement

- Advanced proficiency in Snowflake, including SnowSQL and Snowflake's unique features

- Expert-level SQL skills (strong Python programming abilities optional)

- Extensive experience with data visualization tools, particularly Tableau

- Experience working in Agile environments and collaborating with cross-functional teams (JIRA)

- Demonstrated experience in designing and optimizing data pipelines and architectures

- In-depth understanding of data governance best practices and implementation strategies

- Proven track record of improving data quality and implementing data literacy initiatives

- Strong analytical and problem-solving skills with attention to detail

- Familiarity with data modeling techniques and best practices

- Knowledge of machine learning concepts and their application in data enablement (preferred)

- Excellent communication skills, with the ability to explain complex data concepts to non-technical audiences

-Requires a proactive, self-motivated individual who can balance technical expertise with strong communication skills to drive data enablement initiatives across the organization.


Education:

- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related field


TECHEAD's mission is to make our on-site associates successful by placing them in the right environment so they can grow and prosper. How we treat and respond to our clients and employees is a reflection of who we are and makes us stand out from the rest. Keeping our business focused on building and maintaining relationships with our employees and clients is the key to our success. We won't strive for anything less.


TECHEAD provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.


For more information on TECHEAD please visit www.techead.com.


No second parties will be accepted.

  • Seniority level

    Mid-Senior level
  • Employment type

    Contract
  • Job function

    Information Technology
  • Industries

    Insurance

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