data visualization analyst

Ford Motor Company

<div>You will also be responsible for developing and implementing data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality. You will need to have strong analytical and problem-solving skills, as well as the ability to communicate complex ideas clearly and concisely.
Have a keen interest in the business problem and have a strong business acumen, be updated with the latest information on the industry. Exposure to, and practical knowledge of industry and business functions is preferred.
Have a passion and deep experience in descriptive analytics &amp; reporting. Have expertise in problem solving, efficiently analyzing very large customer data sets from multiple, disparate sources.
Compile and analyze the results from modeling output and translate into actionable insights.
If you are a highly motivated and results-oriented individual with a passion for data, we encourage you to apply.</div>
 <div>Master&rsquo;s degree in Statistics / Econometrics/ Operation Research or any other quantitative discipline or an Engineering degree with MBA from a premier institute and quantitative emphasis.
<div>4-8 years of experience in Data Analytics, Insight Generation, Automation, Data Visualization and/or Data Science 
</div><div></div><div>Proficiency in programming, preferably Python/PySpark, and SQL for Data Analysis 
</div><div></div><div>Experience of working on cloud platforms, especially GCP 
</div><div></div><div>BI Tools: 3+ years in Power BI (preferred) and/or Tableau 
</div><div></div><div>Ability to exercise independent judgment and decision making on complex issues regarding job duties and related tasks 
</div><div></div><div>Ability to works under minimal supervision, using independent judgment</div></div>
 <div>Data analysis: Performing statistical analyses, exploring data, and identifying patterns
Data visualization: Using data visualization tools like Qlik Sense, Power BI and Looker to identify patterns and showcase findings to stakeholders
Diagnostic analysis: Comparing descriptive data to identify relationships and patterns to understand why a problem is occurring
Predictive analysis: Using data to form projections about the future, such as using historical records to make predictions about future events
Process improvement: Setting up processes to make data more efficient, ensuring quality assurance, and defining Key Performance Indicators (KPIs)
Reporting: Reporting trends to add business value
Support client objectives and project goals through data analysis, data mining by developing data-driven and insightful reports, visualizations, dashboards, and communicating results using appropriate programming languages &amp; visualization tools such as Python, SQL, Alteryx, Qlik Sense, PowerBI.
Understand project team requirements, processes data sets of different complexities ensuring quality and integrity, generates insightful reports, develops appropriate wireframes/visualization and associated data workflows</div>

Data Visualization Analyst

Clark County School District

<div><div>Data Visualization Analyst I- Research and Development
 - (2500063L)</div><div></div><div> 
https://ccsd.net/employees/resources/pdf/desc/support-staff/1200.pdf
12 months/8 hours
Please ensure that you complete the entire three (3) year work history in the &quot;Experience and Credentials&quot; section of your application including periods of unemployment, schooling and volunteer work.
Please ensure that you have read the job description for the position. Required documents for the job which you are applying must be attached at the time of application in order to be considered.<div> 
</div></div><div>
Primary Location LAS VEGAS</div><div>
Work Locations ACCNTBLTY RESRCH DATA SERVICES 3950 PECOS-MCLEOD INTERCONNECT LAS VEGAS 89121</div><div>
Job Information Systems</div><div>
Organization Superintendent Office</div><div>
 Day Job</div><div>
Job Posting Nov 10, 2025, 12:17:24 PM</div><div>
Unposting Date Nov 16, 2025, 1:59:00 AM</div></div>

Data Visualization Analyst I- Research and Development

Daice Labs

<div>
 
 
 Company Description
 
 
 
 
 Daice Labs is building hybrid AI frameworks that integrate today's models into systems that learn continuously. Founded by MIT CSAIL scientists, we focus on building new architectures by combining LLMs/DL with symbolic reasoning and bio-inspired system design. Operating on two tracks, our Product Lab develops industry-specific solutions for collaborative human teams + AI co-building and co-owning vertical applications, while our Research Lab explores how principles of natural intelligence can guide systems design of new hybrid AI architectures. Join us in taking the next leap in productivity through collaborative innovation.
 
 
 
 
 
 
 
 Role Description
 
 
 
 This is a full-time remote role for a Data Analyst. The Data Analyst will be responsible for analyzing data, utilizing data analytics tools, statistical techniques, and data modeling to draw insights and support decision-making. The role involves preparing reports, visualizing data findings, and communicating outcomes to stakeholders effectively.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
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 Analytical Skills and general Data Analytics
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 Strong knowledge of Statistics and Data Modeling
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 Excellent Communication skills to convey data insights
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 Experience with data visualization tools and techniques
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 Ability to work independently in a remote environment
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 Bachelor&rsquo;s degree in Data Science, Mathematics, Statistics, or related field
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 </ul>
</div>

Data Analyst

RLS RETAIL PVT. LTD. An official venture of SeekhoBecho.com

Job Title: Data AnalystCompany: RLS Retail Pvt. Ltd. (Official venture of SeekhoBecho.com) Location: Plot No. 27&ndash;28, Udyog Vihar Phase 4, Sector 18, Gurugram, Haryana &ndash; 122015 Work Mode: Work From Office Experience Required: 3&ndash;5 Years Salary Range: &#8377;35,000 &ndash; &#8377;40,000 per month Working Hours: 9:00 AM &ndash; 7:00 PMAbout the Role:RLS Retail is seeking a skilled Data Analyst to join our Data &amp; Analytic team. You will play a key role in transforming raw data into actionable insights that drive smarter business decisions. The ideal candidate possesses strong analytical thinking, technical expertise, and a proactive approach to solving business challenges through data.Key Responsibilities:Collect, clean, and organize large datasets from multiple internal and external sources.Develop and maintain dashboards, reports, and visualizations using Excel, Power BI, or Tableau.Analyst data to identify trends, patterns, and key performance drivers.Collaborate with marketing, operations, and product teams to support data-backed decision-making.Ensure data accuracy, integrity, and timely reporting across business functions.Automate recurring data processes to improve reporting efficiency.Required Skills &amp; Qualifications:Bachelor&rsquo;s degree in Statistics, Mathematics, Computer Science, or a related field.3&ndash;5 years of experience as a Data Analyst or in a similar analytical role.Strong proficiency in MS Excel (Pivot Tables, VLOOKUP, Power Query).Hands-on experience with SQL and visualization tools (Power BI / Tableau).Solid understanding of data cleaning, modeling, and reporting techniques.Excellent analytical, problem-solving, and communication skills with strong attention to detail.Good to Have:Experience with Python or R for data analysis and automation.Familiarity with Google Analytics or other marketing data tools.Knowledge of ETL processes and data warehousing concepts.Why Join Us:Be part of a fast-growing retail-tech company driving data-led innovation.Gain exposure to real-world business data and advanced analytics projects.Work in a collaborative and growth-oriented environment that values continuous learning.How to Apply:Interested candidates can share their resumes at richika@seekhobecho.com For any queries, contact 89291 50642 Neha Thakur HR HeadJob Types: Full-time, PermanentPay: &#8377;35,000.00 - &#8377;40,000.00 per monthBenefits:<ul><li>Commuter assistance</li><li>Internet reimbursement</li><li>Leave encashment</li></ul>Ability to commute/relocate:<ul><li>Haryana, Haryana: Reliably commute or planning to relocate before starting work (Required)</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>

Data Analyst (SQL, Power BI, Excel) – Immediate Joiners Preferred

ACI LOGISTIX LABS PVT LTD

Job Title: Data AnalystExperience Required: Minimum 2 years Location: Bangalore (remote work but required to attend on need basis) Employment Type: Full-timeJob SummaryWe are seeking a highly skilled Data Analyst with at least 2 years of hands-on experience in data analysis, visualization, and cloud data platforms. The candidate should be proficient in Power BI, Python, SQL, and Azure services such as Data Factory, Synapse Analytics, and Apache Spark. You will be responsible for transforming raw data into actionable insights and collaborating with cross-functional teams to support data-driven decision-making.Key Responsibilities1. Data Analysis &amp; Insights<ul><li>Analyze large, complex datasets to identify trends, patterns, and business insights.</li><li>Develop and maintain dashboards and interactive reports using Power BI.</li><li>Provide data-driven recommendations to stakeholders across business units.</li><li>Perform exploratory data analysis (EDA) using Python and SQL.</li></ul>2. Data Integration &amp; ETL<ul><li>Build, schedule, and monitor data pipelines using Azure Data Factory (ADF).</li><li>Develop ETL workflows for ingesting, cleaning, transforming, and processing data.</li><li>Work with diverse structured and unstructured data sources (APIs, databases, files, etc.).</li></ul>3. Cloud Data Engineering Support<ul><li>Use Azure Synapse Analytics for data warehousing, analytics, and SQL-based transformations.</li><li>Develop and optimize data processing scripts using Apache Spark (PySpark preferred).</li><li>Collaborate with data engineers to enhance cloud data architecture and performance.</li></ul>4. Database &amp; SQL Development<ul><li>Write efficient SQL queries, stored procedures, and scripts for data extraction and analytics.</li><li>Work with SQL Server databases for reporting, ETL processes, and performance tuning.</li><li>Ensure data integrity, accuracy, and reliability across data platforms.</li></ul>5. Reporting &amp; Visualization<ul><li>Create visually compelling, interactive dashboards and KPI reports in Power BI.</li><li>Implement DAX measures, calculated tables, and row-level security (RLS).</li><li>Optimize dashboards for performance and scalability.</li></ul>6. Documentation &amp; Collaboration<ul><li>Prepare clear technical documentation for data models, pipelines, and processes.</li><li>Work closely with data engineers, business analysts, product teams, and leadership.</li><li>Participate in Agile meetings, sprint planning, and project reviews.</li></ul>Required QualificationsMSc. Data Analytics<ul><li>2+ years of experience in a Data Analyst or similar role.</li><li>Strong proficiency in Power BI (DAX, data modelling, dashboard design).</li><li>Hands-on experience with Python for data analysis (Pandas, NumPy, PySpark optional).</li><li>Solid expertise in SQL and experience using SQL Server.</li><li>Experience with Azure Data Factory, Azure Synapse Analytics, and Apache Spark.</li><li>Strong understanding of ETL concepts, data pipelines, and cloud data workflows.</li><li>Excellent problem-solving and analytical thinking skills.</li><li>Ability to communicate insights clearly to technical and non-technical stakeholders.</li></ul>Preferred (Nice-to-Have) Skills<ul><li>Experience with Git/GitHub for version control.</li><li>Knowledge of Azure Databricks or other cloud analytics tools.</li><li>Exposure to CI/CD workflows for data projects.</li><li>Experience with Power Automate or similar workflow automation tools.</li><li>Basic understanding of machine learning workflows.</li></ul>Job Types: Full-time, PermanentPay: From &#8377;1,200,000.00 per yearBenefits:<ul><li>Health insurance</li><li>Life insurance</li><li>Paid sick time</li><li>Provident Fund</li><li>Work from home</li></ul>Experience:<ul><li>Data analysis skills: 2 years (Preferred)</li></ul>Work Location: Remote

Data Analyst - 2+ years experience

Splash Software

<div>About the Role
We are seeking a highly skilled Data Analyst to join our team. The ideal candidate will excel in using data to derive actionable insights, create impactful visualizations, and support decision-making processes across various business functions. This role involves working with large datasets in Elasticsearch and visualizing them in Kibana to monitor performance, identify trends, and ensure data-driven strategies.
Key Responsibilities<ul><li>
Design, develop, and maintain advanced dashboards and reports using Kibana to visualize key metrics and trends.</li><li>
 Analyze large datasets from Elasticsearch to extract actionable insights.</li><li>
Identify anomalies, trends, and patterns in data, providing timely alerts and recommendations to stakeholders.</li><li>
Collaborate with cross-functional teams to understand business needs and translate them into analytical requirements.</li><li>
Develop and implement queries in Elasticsearch to retrieve and process data efficiently.</li><li>
Monitor key performance indicators (KPIs) and create models for performance improvement.</li><li>
Generate periodic and ad-hoc reports for management and other teams, ensuring accuracy and relevance.</li><li>
Document analysis processes, tools, and findings for consistency and reproducibility.</li></ul>
Qualifications<ul><li>
 Bachelors degree in Computer Science, Data Analytics, Statistics, or a related field.</li><li>
Proven experience as a Data Analyst, with expertise in Elasticsearch and Kibana.</li><li>
Strong proficiency in data querying and manipulation using Elasticsearch query language (EQL).</li><li>
Familiarity with data visualization techniques and tools (e.g., Kibana, Tableau, or Power BI).</li><li>
Proficiency in Python, SQL, or similar tools for data analysis and scripting.</li><li>
 Strong analytical and problem-solving skills, with attention to detail.</li><li>
Excellent communication skills to present findings effectively to technical and non-technical stakeholders.</li><li>
Ability to handle and analyze large datasets efficiently.</li></ul>
Preferred Skills<ul><li>
Experience with log and event data analysis.</li><li>
Familiarity with setting up alerts and monitoring mechanisms in Kibana.</li><li>
Knowledge of statistical analysis techniques.</li><li>
Prior experience in high-volume, real-time data environments is a plus.</li></ul></div>

Splash Software LLC

<div>
 
 About The Role
 
 
 
 We are seeking a highly skilled Data Analyst to join our team. The ideal candidate will excel in using data to derive actionable insights, create impactful visualizations, and support decision-making processes across various business functions. This role involves working with large datasets in Elasticsearch and visualizing them in Kibana to monitor performance, identify trends, and ensure data-driven strategies.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain advanced dashboards and reports using Kibana to visualize key metrics and trends.
 </li>
 <li>
 &emsp;&emsp;Analyze large datasets from Elasticsearch to extract actionable insights.
 </li>
 <li>
 Identify anomalies, trends, and patterns in data, providing timely alerts and recommendations to stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business needs and translate them into analytical requirements.
 </li>
 <li>
 Develop and implement queries in Elasticsearch to retrieve and process data efficiently.
 </li>
 <li>
 Monitor key performance indicators (KPIs) and create models for performance improvement.
 </li>
 <li>
 Generate periodic and ad-hoc reports for management and other teams, ensuring accuracy and relevance.
 </li>
 <li>
 Document analysis processes, tools, and findings for consistency and reproducibility.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 &emsp;Bachelors degree in Computer Science, Data Analytics, Statistics, or a related field.
 </li>
 <li>
 Proven experience as a Data Analyst, with expertise in Elasticsearch and Kibana.
 </li>
 <li>
 Strong proficiency in data querying and manipulation using Elasticsearch query language (EQL).
 </li>
 <li>
 Familiarity with data visualization techniques and tools (e.g., Kibana, Tableau, or Power BI).
 </li>
 <li>
 Proficiency in Python, SQL, or similar tools for data analysis and scripting.
 </li>
 <li>
 &emsp;Strong analytical and problem-solving skills, with attention to detail.
 </li>
 <li>
 Excellent communication skills to present findings effectively to technical and non-technical stakeholders.
 </li>
 <li>
 Ability to handle and analyze large datasets efficiently.
 
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience with log and event data analysis.
 </li>
 <li>
 Familiarity with setting up alerts and monitoring mechanisms in Kibana.
 </li>
 <li>
 Knowledge of statistical analysis techniques.
 </li>
 <li>
 Prior experience in high-volume, real-time data environments is a plus.
 
 </li>
 </ul>
</div>

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