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

Station Casinos

Technical Data Steward

Las Vegas, NV · On-site

Gather, analyze, and document business requirements for data-related projects and initiatives. * Identify and resolve application performance and availability issues in a cost-effective and timely ...

Pwc

Data Engineer - Manager

Las Vegas, NV · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

Pwc

Data Engineer - Senior Associate

Las Vegas, NV

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Manager

Las Vegas, NV

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Manager

Las Vegas, NV

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

America Votes

Nevada Senior State Data Lead

Las Vegas, NV · On-site

$65K - $75K/yr

Position Description The Senior State Data Lead provides high-quality data services and analytical support to America Votes coalition partners and supports the State Director in data-informed ...

AMH

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

Monitors the system performance by performing regular tests, troubleshoots, and integrates new features. • Lead in analysis of data and the design the data architecture to support BI, AI/ML and ...

Pwc

Data Engineer - Senior Associate

Las Vegas, NV

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... In this role within our Technology Consulting practice, you will leverage advanced technologies and ...

KēSTA I.T.

Sr. Data Engineer

Las Vegas, NV

$125K - $151K/yr

Experience working in Agile environments * Strong analytical, problem-solving, and communication ... Data, End-User support, Web and Executive / leadership-based positions on a full time and ...

Amh

Senior Data Engineer

Las Vegas, NV

$121K - $151K/yr

Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products. * Designs and implements data platform architecture to meet organization analytical requirements.

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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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Technical Data Steward

Technical Data Steward

Station Casinos

Las Vegas, NV • On-site

Full-time

Re-posted 7 days ago

Station Casinos rating

6.7

Company rating: 6.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

84th of 148 rated casinos

Job description


Position Summary:
Develop and publish data definitions, rules, mappings, and transformations. Facilitate effective data governance practices and provide actionable insights to support business objectives. Ensure the integrity and quality of our data assets. Perform responsibilities in accordance with all Company standards, policies, and procedures.
Core Values:
The Technical Data Steward role models the core values of our culture including: Kind, Forward Thinking, Inclusive, Passionate, Reliable and Self-Aware.
Essential Functions:
  • Responsible for practicing, supporting, and promoting Station Casinos "We Win Hearts" Company-wide culture and demonstrating Station Casinos' Championship Service Standards at all times.
  • Develop and maintain data governance frameworks, policies, and procedures.
  • Ensure data quality, accuracy, and consistency across various systems and platforms.
  • Monitor and enforce data standards, data definitions, and data lifecycle management.
  • Conduct data audits and data profiling to identify and address data quality issues.
  • Gather, analyze, and document business requirements for data-related projects and initiatives.
  • Identify and resolve application performance and availability issues in a cost-effective and timely fashion.
  • Translate business needs into technical specifications, business rules and source to target data mappings for IT development teams to implement.
  • Perform data analysis to support decision-making and provide actionable insights to stakeholders.
  • Develop and maintain dashboards, reports, and visualizations to communicate data findings.
  • Facilitate workshops and meetings with stakeholders to understand business processes and requirements.
  • Collaborate with cross-functional teams to ensure alignment of data initiatives with business goals.
  • Provide training and support to business users on data management practices and tools.
  • Communicate complex technical concepts to non-technical stakeholders in a clear and understandable manner.
  • Identify opportunities for process improvements related to data management and business analysis.
  • Stay updated with industry trends, best practices, and emerging technologies related to data governance and business intelligence.
  • Recommend and implement enhancements to data systems and business processes.

Qualification:
  • Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related field. Advanced degrees or certifications (e.g., Certified Business Analysis Professional (CBAP), Certified Data Management Professional (CDMP)) are a plus.
  • At least two (2) years of experience in data management or data stewardship roles.
  • Working knowledge in Hospitality, Gaming and/or Accounting applications, and others.
  • Proven experience with data governance tools, data quality tools, and business intelligence platforms.
  • Strong analytical skills and experience with data analysis, reporting, and visualization tools (e.g., SQL, Cognos, Excel, Tableau, Power BI).
  • Working knowledge of agile principles and practices.
  • Self-motivated with the ability to meet deadlines with minimal supervision.
  • Ability to communicate effectively with Stakeholders, Team Members, Product Owners, and Management in both written and verbal form.
  • Must be able to work on call on a rotational basis as required.
  • Experience working in a team-oriented, collaborative environment.

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