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Data Analyst

At City Electric Supply, we encourage our people to ask questions, create, discover, and learn.


If you're passionate about what you do and think you can contribute, we encourage you to apply even if you don't meet every requirement listed. Your unique experiences and perspectives could be exactly what we need to grow and innovate.


Let's build something great together!



About CES:


CES is a global electrical wholesaler, providing electrical products to people in the industry known for its extensive range of products and commitment to customer service. Founded in 1951 in the United Kingdom, it has since expanded to over 1,000 locations across multiple countries, including the United States, Canada, Australia, and Europe. 


We in IT are delivering value to our business and our customers with the innovative solutions that enable our business to better serve our customers today and in the future. We recognize that technology and data are at the forefront of this. 


Our Global IT team deliver a portfolio of transformative work, expand our digital options, upgrade and future-proof our systems to place us at the forefront of the marketplace. 

 

To do this, we need talented and creative people across all areas to join us in delivering our evolution to enable our forward-thinking business over the next few years and beyond, and this is where you come in... 


Summary:

We are seeking a skilled Data Analyst to support the Data Management team by creating internal reports and building team-level metrics dashboards. This role will focus on developing and maintaining reports that track productivity and data quality, while working closely with the data technicians to inform people about changes needed to prepare our data for use across the business. The ideal candidate will play a crucial role in ensuring that the data we manage is accurate, actionable, and aligned with standards. 



Essential Job Functions:
  • Design and develop internal reports to monitor the performance of the data management team, focusing on productivity, data quality, and operational efficiency. Reports will be used to track team metrics, performance, and areas requiring attention.
  • Build and maintain real-time metrics dashboards to visualize key performance indicators (KPIs) and other internal team metrics. Leverage BI tools to create dashboards that are easy to interpret and align with team goals.
  • Work closely with data technicians to identify and inform them of any data quality issues or inconsistencies that need to be addressed. Provide clear and actionable insights to drive improvements in data quality and structure.
  • Write and optimize SQL queries to extract the necessary data for reports and dashboards. Ensure data accuracy and consistency in all reporting outputs.
  • Automate report generation and dashboard updates to minimize manual effort and enhance the efficiency of internal reporting workflows.
  • Assist in preparing the data for AI initiatives by identifying data quality gaps. Collaborate with data technicians to ensure that the data is clean, properly structured, and ready for use in AI models and predictive analytics.
  • Regularly review data quality metrics and reports, ensuring the data being tracked and reported is accurate and complete. Provide feedback to data technicians to help guide data improvements.
  • Maintain documentation related to reporting processes, SQL queries, and dashboard metrics to ensure consistency and transparency in data management practices.
  • Continuously identify and recommend improvements to reporting processes, data collection methods, and the overall management of internal metrics to drive productivity and data quality. 


Education/Experience:
  • 3+ years of experience in data reporting, analytics, and dashboard development.
  • Experience with SQL, BI tools (Power BI, Tableau), and data reporting in a business or technical context.
  • Experience with process automation and reporting efficiency tools.
  • Familiarity with data governance practices and how they impact internal reporting.
  • Familiarity with ETL (Extract, Transform, Load) tools (e.g., Talend, Alteryx) to support data pipelines (preferred).
  • Experience with cloud-based data storage or analytics platforms (e.g., AWS) (preferred).
  • Knowledge of integrating data from multiple systems (e.g., ERP, CRM) into a unified reporting structure (preferred).


Competencies:
  • Advanced proficiency in SQL for querying and extracting data from relational databases, including writing complex queries for reporting and analysis.
  • Experience with BI tools (e.g., Power BI, Tableau) for creating reports and dashboards to track team performance and metrics.
  • Understanding of data profiling techniques and the ability to recognize and communicate data quality issues to technicians.
  • Proven ability to build and maintain dashboards to track KPIs and performance metrics for internal teams.
  • Strong analytical skills in designing reports that track team performance, operational efficiency, and support data-driven decisions.
  • Experience automating report generation and dashboard updates using BI tools' automation features or scripting.
  • Strong interpersonal and communication skills to work with data technicians and other team members to ensure data accuracy and process improvements.
  • Understanding of AI data readiness and the ability to collaborate with technical teams.
  • Ensuring data accuracy in reports and dashboards, identifying discrepancies, and resolving them with the team.


Benefits:
  • Medical, Dental, Vision Insurance.
  • 401(k) company match program.
  • Telehealth.
  • Short-term and Long-term disability insurance.
  • Basic and AD&D Life Insurance paid for by the company.
  • Critical Illness, Hospital Confinement, Accident Insurance, Supplemental Life Insurance.
  • Employee Assistance Program.
  • Mental, physical, financial wellness.
  • Auto and Home Insurance discount.
  • Paid Time Off and 7 paid Holidays.
  • Paid Pregnancy, Parental, and Adoption Leave programs.
  • Employee Discount Program.
  • Training Programs.
  • Internal growth opportunities in a fast-growing company.
  • In some jurisdictions, state or local laws address sick leave or other leaves of absence. The Company complies with all such laws. This policy shall apply only to the extent it does not conflict with applicable law.


EEO Statement 

City Electric Supply (CES) provides equal employment opportunities (EEO) to all employees and candidates for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, veteran status, or other protected class status.  In addition to the federal law requirements, CES complies with applicable state and local laws governing nondiscrimination in employment.  CES also makes reasonable accommodations to qualified individuals with disabilities, in accordance with the ADA.  This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfers, leaves of absence, compensation, and training. 


Attention Applicants: If you have a disability and need a reasonable accommodation to complete any part of the application process, or if you have difficulty accessing or using the online application process and need an alternative method, please contact us at HRServices@cityelectricsupply.com or 1-855-571-2477.


City Electric Supply is a drug free workplace. 

For further information about CES, visit our website at www.cityelectricsupply.com.

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What You Should Know About Data Analyst, City IT

Join City Electric Supply as a Data Analyst and play an essential role in shaping data-driven decisions for our innovative team! At CES, we embrace creativity and adaptability, encouraging all our employees to contribute their unique perspectives and skills. In this role, you'll help elevate our data management processes by designing and developing internal reports to track productivity and data quality. Your expertise will shine through as you build and maintain visually engaging dashboards using BI tools to communicate key performance indicators. Collaborating closely with our data technicians, you'll identify areas that need improvement and provide actionable insights to enhance data accuracy. With a focus on automating report generation and preparing our data for AI initiatives, you'll help ensure that we stay ahead in our industry. Your analytical skills and proficiency in SQL will be crucial in extracting meaningful data for our reports. At City Electric Supply, we value your dedication and are excited to support your growth within our rapidly evolving company. Let’s work together to refine and enhance our data practices and help us lead the way into a data-driven future!

Frequently Asked Questions (FAQs) for Data Analyst Role at City IT
What responsibilities does a Data Analyst at City Electric Supply have?

As a Data Analyst at City Electric Supply, your primary responsibilities will include designing and developing internal reports, maintaining dashboards that visualize key performance metrics, and collaborating closely with data technicians to address data quality issues. Your role is crucial in ensuring that the data we manage is actionable and reliable, driving improvements in our internal reporting workflows.

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What qualifications are required for the Data Analyst position at City Electric Supply?

To apply for the Data Analyst position at City Electric Supply, candidates should ideally have a minimum of 3 years of experience in data analytics, proficiency in SQL, and familiarity with Business Intelligence tools such as Power BI or Tableau. Experience in process automation and data governance practices will also be beneficial, as well as knowledge in integrating data from various systems.

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How does the Data Analyst contribute to AI initiatives at City Electric Supply?

The Data Analyst at City Electric Supply plays a pivotal role in preparing data for AI initiatives by identifying data quality gaps and collaborating with data technicians to ensure clean, well-structured data is available for AI models. Your insights and reports will help guide the organization toward effective predictive analytics.

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What software tools are commonly used by a Data Analyst at City Electric Supply?

A Data Analyst at City Electric Supply typically uses SQL for data querying and extraction, alongside Business Intelligence tools like Power BI or Tableau for creating impactful dashboards and reports. Familiarity with ETL tools and cloud-based platforms such as AWS would also be advantageous.

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What are the growth opportunities for a Data Analyst at City Electric Supply?

City Electric Supply offers excellent internal growth opportunities for Data Analysts, given its commitment to innovation and data-driven practices. As the company evolves, professionals in these roles can expect to take on new challenges and responsibilities, and develop leadership skills in data management and analytics.

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Common Interview Questions for Data Analyst
Can you explain your experience with SQL and how you would use it in the Data Analyst role?

Absolutely! My experience with SQL includes writing complex queries to extract and manipulate data for reports and dashboards. In the Data Analyst role at City Electric Supply, I would use SQL to ensure data accuracy and to generate insightful reports that track team performance and operational metrics.

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Describe a time you solved a complex data quality issue.

In a previous role, I identified discrepancies in sales data reports due to inconsistent data entry. By collaborating with the data team, we established clearer guidelines and automated error alerts, significantly improving data quality and reducing reporting time.

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How do you prioritize your tasks as a Data Analyst?

Prioritization in a data analytics role involves first assessing the urgency and impact of tasks. I typically categorize my projects based on deadlines and their influence on decision-making processes, ensuring that critical reports and dashboards are completed efficiently.

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What BI tools have you used, and how would you apply them in this position?

I have extensive experience with Power BI and Tableau. In the Data Analyst role, I would apply these tools to create interactive dashboards that effectively visualize key performance indicators, making it easier for stakeholders to understand complex data at a glance.

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How do you ensure the accuracy of your reports?

To ensure report accuracy, I implement data validation checks and maintain a clear documentation of processes. Regular communication with data technicians helps in identifying and addressing inconsistencies, which is critical for high-quality reporting.

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Can you explain a data project you are particularly proud of?

One project I'm proud of involved automating a monthly performance report that previously took several days to compile. By developing a streamlined process using SQL and BI tools, I reduced the reporting time to just a few hours, allowing the team to act on insights much faster.

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Explain how you would approach building a dashboard to track team performance metrics.

I would start by identifying the key performance indicators that matter for the team and collaborate with stakeholders to gather input. After that, I’d design a user-friendly dashboard in Power BI, ensuring it's visually appealing and intuitive, while accurately displaying real-time metrics.

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What strategies do you use for process automation in reporting?

I utilize scripting and BI tools' automation features to streamline report generation and data visualizations. Creating automated workflows reduces manual errors and saves valuable time, allowing more focus on analysis rather than data preparation.

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How do you stay updated on trends in data analytics?

I follow industry blogs, participate in online forums, and attend webinars to keep my skills sharp. Being a part of professional networks also allows me to learn from peers, share insights, and gain new knowledge about evolving data analytics techniques and tools.

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What do you see as the biggest challenges in data analytics today?

One of the main challenges in data analytics today is ensuring data quality amidst increasing data volumes from multiple sources. Balancing the need for speed in decision-making with thorough data validation processes is critical to maintaining reliability and accuracy in analytics.

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DATE POSTED
April 5, 2025

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