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Walk In Data Analyst Interview Jobs in Texas (NOW HIRING)

The analyst will also get cross-trained in Cicada, an internal ETL tool, to be self-sufficient with data pipelines and data sets. This role will manage big data that are cross-factory, cross-business ...

This role requires strong analytical capabilities, technical proficiency in data tools, and the ability to clearly communicate insights to both technical and non-technical audiences. Key ...

As a Data Analyst in SWBC's financial institution group, you will have the opportunity to collaborate with various data resources across the data pipeline to provide end-to-end data solutions, assist ...

As a Data Analyst in SWBC's financial institution group, you will have the opportunity to collaborate with various data resources across the data pipeline to provide end-to-end data solutions, assist ...

As a Data Analyst in SWBC's financial institution group, you will have the opportunity to collaborate with various data resources across the data pipeline to provide end-to-end data solutions, assist ...

The successful candidate will have extensive experience in statistical analysis and data modeling and be able to work collaboratively with cross-functional teams to identify trends and patterns in ...

... Analyst will support operational and strategic decision-making by implementing data pipelines and ... Required : • Bachelor's degree required in Data/Computer Science, Engineering, Mathematics or ...

Provide technical expertise in data storage structures, data mining, and data cleansing. * Achieve appropriate item mixes through the extraction of an analysis necessary to make category decisions.

Bachelor's degree in Analytics, Business, Finance, Computer Science, or related field * 2-4 years of experience in data analysis or business intelligence * Experience working with cross-functional ...

New

Bachelor's degree in Analytics, Business, Finance, Computer Science, or related field * 2-4 years of experience in data analysis or business intelligence * Experience working with cross-functional ...

The successful candidate will have extensive experience in statistical analysis and data modeling and be able to work collaboratively with cross-functional teams to identify trends and patterns in ...

The successful candidate will have extensive experience in statistical analysis and data modeling and be able to work collaboratively with cross-functional teams to identify trends and patterns in ...

With 79 energy facilities in operation, Calpine's fleet has the capacity to generate approximately ... The ideal candidate will have a strong background in data analysis, with experience in data ...

With 79 energy facilities in operation, Calpine's fleet has the capacity to generate approximately ... The ideal candidate will have a strong background in data analysis, with experience in data ...

The successful candidate will have extensive experience in statistical analysis and data modeling and be able to work collaboratively with cross-functional teams to identify trends and patterns in ...

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Walk In Data Analyst Interview information

Is it easy to crack a data analyst interview?

Cracking a data analyst interview requires strong analytical skills, proficiency in tools like Excel, SQL, and data visualization software, and a good understanding of statistical concepts. Preparation through practicing case studies, technical questions, and understanding the company's data environment can improve success chances. While challenging, consistent study and experience can make the process more manageable.

Is it hard to get hired as a data analyst?

Getting hired as a data analyst can be competitive, as it often requires strong analytical skills, proficiency in tools like Excel, SQL, and data visualization software, and relevant experience or certifications. Success depends on the candidate's technical abilities, problem-solving skills, and the demand within the industry or company.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI can handle large data sets efficiently, human expertise remains essential for interpreting results, understanding context, and making value-driven recommendations. Data analysts who develop skills in machine learning tools and data visualization will continue to be valuable in the evolving job market.

Is 40 too late for data science?

For a data analyst or data scientist role, starting a career at 40 is possible, especially with relevant skills such as programming, statistics, and tools like Python or SQL. Many professionals transition into data roles later in life by gaining certifications or experience, and age is less of a barrier than skill level and continuous learning.
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What cities in Texas are hiring for Walk In Data Analyst Interview jobs? Cities in Texas with the most Walk In Data Analyst Interview job openings:
Infographic showing various Walk In Data Analyst Interview job openings in Texas as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Full-time

Re-posted 2 days ago


Job description

Job Summary:
Foxconn Houston has several Lighthouse Factory plants manufacturing servers and server cabinets. The company is hiring dedicated analysts to transform data into actionable insights. This role collaborates with data engineers to visualize data from all kinds of sources within the manufacturing factory setting. The data analyst will analyze, design, create, maintain, update, manage and present Tableau dashboards and stories for the factory management teams. The analyst will also get cross-trained in Cicada, an internal ETL tool, to be self-sufficient with data pipelines and data sets. This role will manage big data that are cross-factory, cross-business-units and cross-systems.
Responsibilities:
  • 10%, Analyze datasets using SQL, Cicada and Python.
  • 60%, Design, create, maintain, update, manage and present Tableau Dashboards.
  • 10%, Identify trends and patterns.
  • 10%, Present actionable insights and findings to stakeholders.
  • 10%, ETL/ manage data pipelines using Cicada.

Skills/Qualifications:
  • Proficiency in Tableau or other data visualization tools, SQL and Excel.
  • Native speaking in Chinese Mandarin with ability to read the language and work in a professional setting.
  • Database development using PostgreSQL 11+.
  • Experience with data warehouse and data lake experiments.
  • Excellent communication, organization, and interpersonal skills.
  • Excellent problem-solving skills with extreme attention to detail.
  • Outstanding work ethic and commitment to individual and organizational success.
  • Excellent analytical and advanced troubleshooting skills with end-users/clients.
  • Ability to manage multiple tasks and projects, both independently and as part of a team.
  • Demonstrated ability to learn new things and continuously drive process improvement.

Plus/Desired:
  • With Electronics Manufacturing Industry domain know-how.
  • Experience with ETL tool programming, debugging, maintenance, and monitoring.
  • Experience with Git Repositories (GITLAB) or JIRA.
  • Experience with Big Data, Python, Kafka and Spark programming, debugging, maintenance, and monitoring.
  • Database development using Kudu 1.10.0 and higher, or Hive 2.1.1 and higher.
  • Experience with backend API integration.

Educational Requirements:
  • Bachelor's degree in Data Analytics, Data Science, Information Systems or related fields.
  • Any Tableau or data visualization professional certifications are a plus.