data analyst

Con Edison

<div>Overview
Data Analyst must demonstrate core competencies in working with Genesys Cloud Workforce Management. This role supports call center operations by leading call volume forecasting and staffing optimization efforts to ensure workforce resources are effectively aligned with customer demand. Leveraging Genesys Cloud, the Data Analyst will analyze historical trends, high demand drivers, and operational performance data to produce accurate forecasts and convert them into actionable staffing recommendations. The role utilizes Genesys Cloud performance metrics to improve service levels, reduce average call handle time (AHT), and enhance the overall customer experience. The Data Analyst partners closely with Call Center Operations, Customer Operations Analytics, and leadership to support data driven decision making, operational efficiency, and continuous performance improvement.The Data Analyst must operate effectively in a fast paced, dynamic environment, demonstrating strong organizational and prioritization skills. The role requires the ability to effectively prioritize competing tasks to ensure timely and accurate completion of deliverables, adapt quickly to shifting priorities while maintaining high quality analytical output, and manage multiple projects simultaneously, applying sound judgment to determine urgency, impact, and importance.
Responsibilities
Core Responsibilities<ul><li>
Develop and maintain accurate call volume forecasts using historical trends, seasonality, workload drivers, and business impacts to support operational planning using Genesys Cloud</li><li>
Translate demand forecasts into staffing requirements to ensure appropriate coverage and efficient resource utilization across call center operations</li><li>
Monitor and analyze forecast to actual performance; identify variances and recommend corrective actions to improve forecast accuracy and service outcomes</li><li>
Optimize staffing strategies to improve service level attainment, reduce customer wait times, and minimize call abandon rates.</li><li>
Analyze average handle time (AHT) trends and operational drivers; partner with operations to identify efficiency improvement opportunities</li><li>
Evaluate the relationship between call demand, staffing, AHT, and service levels to support balanced and sustainable workforce plans.</li><li>
Provide data driven insights and staffing recommendations to call center leadership to support real time and long-term decision making</li><li>
Track and report on key workforce and call center KPIs, including service levels, AHT, occupancy, utilization, and forecast accuracy</li><li>
Support continuous improvement initiatives focused on enhancing call center performance and customer experience.</li><li>
Collaborate with Customer Operations, Data Analytics, and cross functional teams to align workforce planning with operational and customer service objectives.</li><li>
Ensure workforce management activities comply with Company policies, departmental standards, and applicable regulatory requirements.</li></ul>
Qualifications
Required Education/Experience<ul><li>
Bachelor's Degree 2 years of relevant experience</li><li>
Associate's Degree 4 years of relevant experience</li><li>
High School Diploma/GED 5 years of relevant experience</li></ul>
Relevant Work Experience<ul><li>
Proficiency in Genesys Cloud reporting, dashboards, and performance metrics, required.</li><li>
Knowledge of workforce management concepts, including forecast accuracy, capacity planning, shrinkage, occupancy, and utilization, required.</li><li>
Demonstrated experience developing short term and long-term call forecasts based on historical trends, seasonality, and demand drivers, required.</li><li>
Experience translating call forecasts into staffing and capacity recommendations to support service level objectives, required.</li><li>
Proven experience analyzing service levels, average handle time (AHT), volume variance, and other call center KPIs, required.</li><li>
Experience partnering with Call Center Operations, Analytics teams, and leadership to support data driven workforce decisions, required.</li><li>
Strong proficiency with Excel and reporting tools, including data analysis, modeling, and visualization, required.</li><li>
Experience working in a regulated or high-volume call center environment, required.</li><li>
Exhibits a deep commitment to excellence and a keen attention to detail, required.</li><li>
Ability to translate complex data into clear, actionable operational recommendations, required.</li></ul>
Licenses and Certifications<ul><li>
Driver's License Required</li><li>
Other: Other:Advanced coursework or certification in workforce management, forecasting, statistics, or data analytics X Preferred</li></ul>
Additional Physical Demands<ul><li>
The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.</li><li>
Must be able to respond to Company emergencies by performing a System Emergency Assignment to restore service to our customers.</li></ul></div>

Data Analyst

Precision Medicine Group

<div>The Data Analyst supports client business processes and operations activities to ensure on-time and high-quality deliverables. Data Analyst combines best-in-class operational and analytic skills with strong problem-solving and communication abilities to projects, solving operational and analytical business problems. You will collaborate with and work closely with Senior Data Analyst &amp; Operations Delivery Lead to deliver operational items.

Essential functions of the job include but are not limited to:
<ul>
<li>Ability to understand and clearly communicate client business issues, operating business rules, data, and standard operating procedures.</li>
<li>Understand, execute, and suggest improvements to pre-defined operational processes.</li>
<li>Implement process improvements in operational processes and strive to identify such opportunities working with Senior Data Analyst &amp; Operations Delivery Lead.</li>
<li>Remaining current on new tools, techniques and working models to continually improve/enhance process and design for quick adoption.</li>
<li>Develop strong understanding of operational processes, data, tools &amp; technology to effectively translate business to technology &amp; vice versa.</li>
<li>Build subject matter expertise over a period of time and apply it to operational processes.</li>
<li>Apply quality checks and validations on all deliverables and report back results to the Operations Delivery Lead.</li>
<li>Execute defined operational models for our clients with standard operating procedures, quality assurance quality checks, governance criteria, roles and responsibilities and assist the Senior Data Analyst &amp; Operations Delivery Lead to define newer more efficient models including detailed documentation.</li>
<li>Coordinate with multiple stakeholders (could be in different time-zone) of the operational process to ensure smooth delivery to client per pre-existing timelines.</li>
<li>Assist engineering team to implement new operational procedures and/or improvements to existing operational procedures by providing knowledge about operations and testing the modified procedures.</li>
<li>Testing new/updated operational procedures to ensure fidelity.</li>
<li>Coordinate multiple tasks to produce high-quality results.</li>
<li>Work on multiple client tasks, strengthening analytic, task management and communication skills.</li>
<li>Collaborate with internal PMG teams to provide all-round value to the firm.</li>
<li>Keep track of unplanned internal &amp; client tasks stemming from operational projects.</li>
<li>Carry out secondary research as needed.</li>
<li>Investigate client questions related to operational deliveries, as needed.</li>
</ul>
Qualifications:

Minimum Required -
<ul>
<li>Bachelor's degree in computer science, Electronics/Communication, Electrical Engineering or related fields.</li>
<li>1 &ndash; 2 years of experience using data mining languages/tools like SQL (for analysts). Exposure to stored procedures is a plus. Detail orientation, quality consciousness and operational mindset are key qualities expected.</li>
<li>Experience in Pharmaceuticals, Managed Markets Consulting or Analytics Consulting with broad based experience in, managed care, and/or analytics will be an advantage.</li>
<li>Experience having worked with people in different time-zones.</li>
<li>Experience leading the delivery of analytic results to the client (internal or external)</li>
</ul>
Preferred:
<ul>
<li>Masters in these disciplines OR MBA/PGDM/Equivalent</li>
<li>Product development/ management/operations experience preferred</li>
<li>US Healthcare Expertise</li></ul><div> 

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.

It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.</div></div>

Virtusa

<div>
 Data Analyst &ndash; Conga &amp; Pros SPOM Integration
 
 
 Data Modeling &amp; Mapping
 
 
 Understand Conga&rsquo;s data structures (Cart, Quote, Invoice, Line Items) and Pros SPOM
 
 
 schema.
 
 
 Design mapping logic to transform Conga data into SPOM-compatible formats for pricing
 
 
 models.
 
 
 ETL &amp; Data Integration
 
 
 Build and maintain ETL pipelines for extracting, transforming, and loading data from Conga
 
 
 to SPOM.
 
 
 Develop custom APIs where ETL is insufficient for real-time or complex transformations.
 
 
 Invoice Data Generation
 
 
 Create invoice datasets from cart-level transactional data for downstream analytics and
 
 
 ML training.
 
 
 Validate data integrity and completeness across multiple sources.
 
 
 Pricing Analytics
 
 
 Prepare datasets for machine learning models to generate price recommendations.
 
 
 Collaborate with data science teams to ensure feature engineering aligns with pricing
 
 
 objectives.
 
 
 Data Quality &amp; Governance
 
 
 Implement data validation, error handling, and reconciliation processes.
 
 
 Ensure compliance with security and privacy standards for sensitive pricing and customer
 
 
 data.
 
 
 Strong knowledge of SQL and relational database design.
 
 
 Proficiency in Python or R for data manipulation and transformation.
 
 
 Experience with ETL tools (e.g., Talend, Informatica, Azure Data Factory) and API
 
 
 development.
 
 
 Understanding of pricing strategies, revenue lifecycle, and transactional data flows.
 
 
 Expertise in data visualization (Power BI, Tableau) for reporting and insights.
 
 
 Solid grasp of data governance, security, and compliance practices.
 
 
 Experience with machine learning pipelines for pricing optimization.
 
 
 Knowledge of RESTful APIs, JSON/XML transformations, and integration patterns.
 
 
 Familiarity with Salesforce ecosystem and Conga platform extensions.
 
 
 Exposure to cloud platforms (Azure, AWS) and data lake architectures.
 
 
 Strong analytical and problem-solving skills with attention to detail.
</div>

Red Bull

<div>
 As a Data Analyst Specialist, you will support data-driven decision-making across our commercial organization. You will help analyze, model, and visualize structured and semi-structured data to generate actionable insights for leadership and field teams. You&rsquo;ll work closely with cross-functional stakeholders to translate business questions into clear metrics, dashboards, and analysis that improve performance, efficiency, and execution in a fast-paced FMCG environment.As a Data Analyst Specialist, you will support data-driven decision-making across our commercial organization. You will help analyze, model, and visualize structured and semi-structured data to generate actionable insights for leadership and field teams. You&rsquo;ll work closely with cross-functional stakeholders to translate business questions into clear metrics, dashboards, and analysis that improve performance, efficiency, and execution in a fast-paced FMCG environment.
 
 
 
 All the responsibilities we'll trust you with:
 
 
 
 
 Data Analysis &amp; Insights
 
 
 
 Investigate business performance to identify growth, optimization and efficiency opportunities. Deliver clear, fast insights that support decisions in a high-velocity environment. Analyze customer behavior, purchasing patterns, and volume drivers across the customer lifecycle. Support ad-hoc analysis and recurring deep-dive (channel performance, outlet segmentation, promo/seasonality impact, etc&hellip;)
 
 
 
 Reporting, Dashboards &amp; KPI Tracking
 
 
 
 Help Define and Standardize Key business performance metrics. Build and maintain Dashboards and reports with strong storytelling and usability. Monitor data quality and ensure accuracy, consistency and scalability across reporting outputs. Automate recurring reporting where possible to reduce manual effort and improve reliability.
 
 
 
 Data Preparation &amp; Automation
 
 
 
 Clean, transform and consolidate datasets from multiple sources (Excel files, system exports, 3rd party data, census data, etc&hellip;) Use Python to automate workflows (data prep, validation checks, recurring exports, KPI Pipelines, etc&hellip;) Maintain well-documented, reusable analysis outputs (templates, scripts, refresh steps.
 
 
 
 Your areas of knowledge and expertise that matter most for this role:
 
 
 
 <ul>
 <li>
 2-4 years of experience in Data Analytics or Business Analyst role
 </li>
 <li>
 Strong Advanced Excel skills
 </li>
 <li>
 Strong background with Power BI (Power Query, data modelling, DAX measures and dashboard design) or similar visualization tool (SAC, Tableau, Metabase, etc..)
 </li>
 <li>
 Good Python foundations
 </li>
 <li>
 Strong analytical thinking and ability to translate ambiguous business asks into measurable outputs.
 </li>
 <li>
 Clear communication and ability to present insights simply to non-technical stakeholders.
 </li>
 <li>
 FMCG Experience (nice to have)
 </li>
 <li>
 RTM Projects Experience (nice to have)
 </li>
 <li>
 GIS tools exposure (nice to have)
 </li>
 <li>
 Familiarity with SQL (nice to have)
 </li>
 <li>
 Familiarity with Trifecta and Snowflake (nice to have)
 </li>
 </ul>
</div>

NextGen | GTA: A Kelly Telecom Company

<div>
 
 We are seeking a highly skilled
 
 Data Analyst
 
 to play a key role in transforming our data into high-quality, actionable insights that support business decision-making&mdash;particularly for sales and revenue operations. This role partners closely with data engineers, business analysts, system administrators, and business stakeholders to define data requirements, ensure data accuracy, and deliver meaningful analytics.
 
 
 The ideal candidate brings strong technical expertise, along with hands-on experience working with CRM and sales data. They enjoy working in a dynamic, fast-paced environment and are comfortable with ambiguity.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work with data engineers, business analysts, and stakeholders to define data requirements.
 </li>
 <li>
 Examine data from multiple source systems and run comparison analysis for anomalies, errors, and inconsistencies.
 </li>
 <li>
 Design and implement mapping logic to cleanse, filter, and structure raw data into usable, high-quality data sets. Document data mappings, conversion rules, workflows, and ETL specifications.
 </li>
 <li>
 Work with technical SMEs and system administrators to create and optimize ETL processes, scripts, and workflows to move data between systems.
 </li>
 <li>
 Work with technical and functional SMEs to validate data and ensure high quality. Troubleshoot and problem solve data-related issues.
 </li>
 <li>
 Use statistical techniques to interpret data, identify patterns, and predict trends
 </li>
 <li>
 Create interactive dashboards, reports, and visualizations to communicate findings to stakeholders.
 </li>
 <li>
 Make recommendations to improve processes, workflows, and automation.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Skills and Qualifications
 
 
 <ul>
 <li>
 
 4+ years work experience
 
 in a data analyst or equivalent role
 </li>
 <li>
 
 Functional Experience:
 
 Supporting sales organizations and working with sales data, customer accounts data, and revenue data
 </li>
 <li>
 
 CRM
 
 : Experience with CRM Tools such as HubSpot, Bullhorn, and Gong
 </li>
 <li>
 
 BI
 
 : Experience with BI Tools such as Power BI or Tableau
 </li>
 <li>
 
 Data Analysis:
 
 Ability to analyze data structures and interpret complex datasets.
 </li>
 <li>
 
 Analytical Skills:
 
 Strong mathematical skills to gather, measure, and analyze data.
 </li>
 <li>
 
 Technical Skills:
 
 Strong proficiency in SQL, experience with ETL tools (e.g., Informatica, Talend, SSIS), and scripting languages (Python, Bash). Experience with Excel and Power Point.
 </li>
 <li>
 
 Database Knowledge:
 
 Familiarity with relational databases (SQL Server, Oracle, PostgreSQL) and data warehousing concepts.
 </li>
 <li>
 
 Soft Skills:
 
 Communication skills to explain technical findings to non-technical stakeholders and critical thinking to solve business problems.
 </li>
 <li>
 
 Education:
 
 Bachelor's degree in mathematics, statistics, computer science, data science, or business analytics; or equivalent work experience.
 </li>
 </ul>
 
 
</div>

Confidential

<div>
 
 
 JOB PURPOSE:
 
 
 
 
 
 
 The
 
 Analyst
 
 in the
 
 Strategy department
 
 will be responsible for transforming complex data into clear, actionable insights that support strategic initiatives across the organization. The role holder will conduct in-depth data and market analysis, develop compelling presentations for senior leadership, and collaborate with cross-functional teams to ensure data accuracy and relevance. The endeavor will directly inform business planning, performance tracking, and decision-making at the highest levels of our organization.
 
 
 
 
 
 
 KEY ACCOUNTABILITIES:
 
 
 
 
 
 <ul>
 <li>
 Develop concise and visually appealing presentations tailored to senior management, summarizing findings and recommendations.
 </li>
 <li>
 Conduct thorough market research to support strategic decision-making and business planning.
 </li>
 <li>
 Use analytical and other techniques to perform data analysis and draw insights from available information.
 </li>
 <li>
 Translate complex data findings into clear, concise presentations for senior leadership.
 </li>
 <li>
 Automate recurring data processes to improve efficiency and reduce manual work.
 </li>
 <li>
 Clean, transform, and validate data to ensure accuracy and reliability.
 </li>
 <li>
 Ensuring that data analysis is performed to a high standard.
 </li>
 <li>
 Stay updated on industry best practices, tools, and methodologies to enhance analytical capabilities.
 </li>
 <li>
 Collaborate with cross-functional teams to gather relevant data and ensure the accuracy of analyses.
 </li>
 <li>
 Provide proposals on how data analytics could be used to improve the effective execution of Strategy Office&rsquo;s mandate.
 </li>
 <li>
 Effectively contribute to projects or reviews through data analytics.
 </li>
 <li>
 Gain positive feedback from senior members
 </li>
 </ul>
 
 
 
 
 
 KEY COMPETENCIES:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in business administration, computer science or related fields
 </li>
 <li>
 Relevant certifications such as Microsoft Data Analyst Associate, Google Data Analytics, or Tableau Certification
 </li>
 <li>
 
 Minimum 5 years
 
 of relevant experience in data analysis, research, or business intelligence
 </li>
 <li>
 Proficiency in Excel
 </li>
 <li>
 Strong analytical and problem-solving skills
 </li>
 <li>
 Strong communication and presentation skills
 </li>
 <li>
 Attention to details
 </li>
 <li>
 Highly organized and ability to prioritise and delegate work
 </li>
 <li>
 Proven ability to conduct in-depth research and analysis
 </li>
 <li>
 Stakeholder management &amp; Collaboration
 </li>
 <li>
 Maintains high standards of reporting
 </li>
 <li>
 Business Acumen
 </li>
 </ul>
 
 
</div>

Afnan Perfumes

Job Title: Sales Data AnalystLocation: Ajman, UAEJob Summary:We are seeking an experienced Sales Data Analyst with strong FMCG or perfume industry exposure. The ideal candidate will be highly proficient in Advanced Excel and Power BI, with the ability to analyze, interpret, and present sales data insights to senior management to support strategic decision-making.Key Responsibilities:<ul><li>Analyze sales data to identify trends, patterns, and performance gaps</li><li>Prepare detailed sales reports, dashboards, and MIS for management review</li><li>Develop and maintain Power BI dashboards for real-time sales tracking</li><li>Perform sales forecasting, variance analysis, and performance analysis</li><li>Study market, product, and customer-level data to support business growth</li><li>Ensure data accuracy and consistency across reports</li><li>Present insights, findings, and recommendations clearly to management</li><li>Work closely with sales, marketing, and finance teams to support business objectives</li></ul>Required Education and Experience:<ul><li>Minimum 5 years of experience as a Sales Data Analyst in FMCG or Perfumes</li><li>Advanced proficiency in Microsoft Excel (Pivot Tables, Power Query, advanced formulas, macros preferred)</li><li>Strong working knowledge of Power BI (DAX, dashboard creation, data modeling)</li><li>Excellent analytical skills</li><li>Strong presentation and communication skills</li><li>Ability to interpret complex data and convert it into actionable insights</li><li>Experience working with large datasets and sales performance metrics</li></ul>Job Type: Full-timePay: Up to AED8,000.00 per monthApplication Question(s):<ul><li>Current Salary</li><li>Expected Salary</li><li>Notice Period</li></ul>Location:<ul><li>Ajman (Required)</li></ul>

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