Search for Data Analyst roles in Fort Smith, AR, focusing on manufacturing industry, requiring 3+ years of experience, with skills in SQL and data visualization tools like Tableau.

Okay, I've searched for Data Analyst roles in Fort Smith, AR, specifically in the manufacturing industry, requiring at least 3 years of experience, and involving skills in SQL and data visualization tools like Tableau. I found 45 positions that match your criteria.

Data Analyst

Fort Smith, AR

Manufacturing

3 years + Experience

SQL

Tableau

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Data Analyst role at Lensa, specifically for Stryten Energy, is centrally focused on enhancing product performance and production yield through data analysis. The core purpose is to translate vast amounts of production and performance data into actionable insights that can drive improvements in product quality. Key responsibilities encompass collaborating with data engineers, producing reports, and using advanced data analysis tools to identify trends and make process recommendations. This role not only demands technical proficiency in statistical software and machine learning but also emphasizes the importance of communication—simplifying complex data findings for various stakeholders. Success in this position means not only understanding the technical aspects but also navigating cross-functional teams effectively, addressing data quality, and aligning insights with strategic initiatives. Candidates should anticipate challenges such as identifying patterns in large datasets and working under the pressures of fast-paced product development cycles. Overall, the ability to deliver data-driven insights that inform product and process decisions will be essential for achieving meaningful results within the first year.

Company Analysis:

Stryten Energy operates at the forefront of the energy storage solutions market, positioning itself as a key player in an industry experiencing rapid growth and innovation. This backdrop creates a dynamic atmosphere that prioritizes cutting-edge technology and a passion for sustainability. Given their focus on solving pressing energy challenges, employees are likely to thrive in a culture that values both creativity and rigorous analysis. The role of a Data Analyst is crucial here, as data-driven decision-making in research and development directly impacts product offerings and market competitiveness. This position being onsite in Alpharetta indicates a collaborative environment with opportunities for face-to-face interactions, crucial for brainstorming and knowledge sharing. The company's commitment to diversity and inclusion suggests a workplace where varied perspectives are valued, which can contribute positively to team dynamics. With Stryten’s extensive history and industry leadership, this role is not just a job but a chance to be part of an evolving narrative aimed at challenging the status quo in energy storage. A strong strategic alignment with corporate objectives means this Data Analyst will play an integral part in driving innovations that support the company's mission and growth.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Describe a time when you analyzed a large dataset to improve a product's performance. What was your process, and what outcomes did you achieve?
Can you give an example of how you have used statistical analysis to support decision-making in a manufacturing environment?
Tell me about a challenging data quality issue you encountered. How did you resolve it and what did you learn?
What tools do you prefer for data visualization, and why do you find them effective for communicating complex data?
How would you approach developing statistical models to improve a product's quality based on production data?
Imagine you are presented with conflicting data from different sources regarding product performance. How would you proceed to identify the source of the discrepancies?
You notice a trend in the data that suggests a decline in production yield. What steps would you take to investigate and address this issue?
How do you stay updated with the latest trends in data analysis and statistics, and how do you incorporate new techniques into your work?
Why do you believe your skills align with the mission of Stryten Energy, particularly in regard to developing sustainable energy solutions?
How do you prioritize competing projects when working within cross-functional teams with tight deadlines?
What strategies would you use to communicate complex technical findings to a non-technical audience?
What excites you about the opportunity to work with Lensa and Stryten Energy specifically?
What is your understanding of the role machine learning can play in data analysis within a manufacturing context?
How do your personal values align with Stryten Energy’s commitment to solving energy challenges?

Job Details

Overview Company

Data Analyst

Lensa

4 days ago

Highlight

OnsiteFull-time3+ yearsMid

Summary

MOTREX Co. Ltd is seeking a Data Analyst to join their team in Fort Smith, AR. The role involves analyzing production and performance data to improve product quality and production yield.

About the Role

As a Data Analyst, you will be responsible for analyzing production and performance data, developing statistical models, and communicating actions to improve product quality. You will enhance data quality, support the product development team, and produce reports using current data analysis tools. Collaboration with database developers, data engineers, and the engineering and manufacturing quality team is essential. You will also participate in cross-functional teams, document processes, and present analysis results to customers.

About You

Required:

Bachelor’s degree with emphasis on statistics, mathematics, operations research, data science, or other quantitative disciplines.
At least 3 years of experience in data analysis, data engineering or related roles.
3 to 5 years’ experience in statistical analysis, preferably in a manufacturing or production environment.
Experience with experimental design (DOE), modeling, and working with real data sets.
Excellent Microsoft Excel, PowerPoint, and Access skills.

Preferred:

Six Sigma certification.
Project Management training.
Ability to deploy machine learning models into real-time production environments.
Working knowledge of SPSS, SAS, or other statistical analysis software.
Programming in R/Python/SQL.
Data Visualization tools - Tableau/Microsoft Power BI.

Lensa

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

Fort Smith, AR