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bi analyst professional services

Contentsquare

<div>
 Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers&rsquo; whole online journey.
 
 
 We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We&rsquo;re here to stay&mdash;and we&rsquo;re looking for team members who are excited to drive impact and help us scale even further.
 
 
 Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler&mdash;for our customers, their customers, and each other.
 
 
 
 Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. For more information, visit our careers blog.
 
 
 
 
 About the job:
 
 
 
 The mission of the Professional Services Operations team is to align Professional Services strategy to its execution. As a member of the team you will drive critical business insights for our teams while partnering with Proserve leaders to fundamentally improve how we execute. As an entrepreneurial, organized and analytical problem-solver, you will be responsible for optimizing business reporting, driving data quality, and participating in continuous improvement projects for the Proserve organization.
 
 
 
 What you&rsquo;ll do:
 
 
 
 
 Measurement and Reporting:
 
 
 
 <ul>
 <li>
 Build reports and visualizations with Professional Services key metrics to help the team understand strategy effectiveness.
 </li>
 <li>
 Conduct deep dive analysis to identify drivers of Professional Services performance and generate insights for future changes.
 </li>
 <li>
 Quickly digest or develop new KPIs, ask the right questions, and effectively interpret and act on what it's telling you and what it's not telling you.
 </li>
 <li>
 Monitor Professional Services KPIs and explain deviations from the norm.
 </li>
 <li>
 Deliver sophisticated analyses to senior leadership that provide thoughtful evaluation of data.
 </li>
 <li>
 Partner with the Product, Revenue Operations, and Enterprise Analytics teams for building reporting methods.
 </li>
 <li>
 Proactively identify opportunities to automate reporting and data collection processes.
 </li>
 <li>
 Collaborate with internal Professional Services teams to gather benchmark data and other insights.
 
 
 </li>
 </ul>
 
 Data Analysis:
 
 
 
 <ul>
 <li>
 Use statistical tools and methods to analyze data from various sources.
 </li>
 <li>
 Automate analysis through insightful dashboards.
 </li>
 <li>
 Communicate findings to stakeholders in a clear and actionable manner.
 </li>
 <li>
 Continuously monitor data quality.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need to Succeed:
 
 
 
 <ul>
 <li>
 3+ years in RevOps, Professional Services Ops, or Customer Success Ops focused on data analysis, reporting, and data visualization.
 </li>
 <li>
 Deep familiarity with SaaS contract terminology, forecasting, sales, and post‑sales processes.
 </li>
 <li>
 Fluent professional English with strong written and verbal communication.
 </li>
 <li>
 Experience working with Salesforce and Google Workspace.
 </li>
 <li>
 SQL expert with hands-on experience in ETL pipelines, relational databases, and data modeling (MAQL a plus)
 </li>
 <li>
 Proficiency with Tableau, and advanced Google Sheets/Looker Studio.
 </li>
 <li>
 Discipline in enforcing data quality rules, governance, and documentation best practices.
 </li>
 <li>
 Strong grasp of statistical analysis/modeling and the ability to translate data into actionable insights.
 </li>
 <li>
 Self‑starter with excellent organization, project/time management, attention to detail, and creative problem‑solving; thrives under tight deadlines and collaborates well in a global team.
 </li>
 <li>
 Proven ability to build automated dashboards/reporting, define new KPIs, and explain performance variance clearly.
 
 
 </li>
 </ul>
 
 Why you should join Contentsquare
 
 
 
 We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we&rsquo;re aligned with the employees' needs.
 
 
 Here are a few we want to highlight:
 
 
 <ul>
 <li>
 Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year
 </li>
 <li>
 Work flexibility: hybrid and remote work policies
 </li>
 <li>
 Generous paid time-off policy (every location is different)
 </li>
 <li>
 Immediate eligibility for birthing and non-birthing parental leave
 </li>
 <li>
 Wellbeing and Home Office allowances
 </li>
 <li>
 A Culture Crew in every country we&rsquo;re based in to coordinate regular activities for employees to get to know each other and bond outside of work
 </li>
 <li>
 Every full-time employee receives stock options, allowing them to share in the company&rsquo;s success
 </li>
 <li>
 We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts
 </li>
 <li>
 And more benefits tailored to each country
 
 
 </li>
 </ul>
 
 Contentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
 
 
 
 
 Your personal data is used by Contentsquare for recruitment purposes only. Read our
 
 
 Job Candidate Privacy Notice
 
 
 to find out more about data protection at Contentsquare and your rights. You can exercise your rights by using our dedicated Data Subject Rights Portal
 
 
 here
 
 
 .
 
 
 
 
 Your personal data will be securely stored in our hosting provider&rsquo;s data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws.
 
</div>

BI Analyst - Professional Services

Boubyan Bank

<div>
 
 
 JOB SUMMARY / PURPOSE:
 
 
 
 The Data Analyst will be instrumental in leveraging data to enhance the bank's AI conversation assistants and self-service digital channels. This role focuses on extracting, analyzing, and interpreting digital channel&rsquo;s and conversational data to provide actionable insights that drive process improvements, optimize customer journeys, and support evidence-based decision-making across various business units.
 
 
 
 
 
 
 ROLE AND RESPONSIBILITIES:
 
 
 
 
 
 <ul>
 <li>
 
 Data Collection &amp; Management:
 
 Collect, validate, cleanse, and transform large datasets from various sources, including conversational platforms, and data warehouses, ensuring data accuracy and integrity.
 </li>
 <li>
 
 Data Ingestion:
 
 Ingest digital channels logs, anonymize/PII scrub, build vectorization pipelines, index maintenance, ETL for analytics and model monitoring data.
 </li>
 <li>
 
 BI &amp; Reporting Development:
 
 Design, develop, and maintain reports, dashboards, and data visualizations (using tools like Power BI) to track Business KPIs, Conversation analytics, Model performance &amp; quality,Infra &amp; Operations and Compliance &amp; audit reports
 </li>
 <li>
 
 NLU Performance Review:
 
 Review and analyse the Natural Language Understanding (NLU) performance of AI models to improve conversation flow and accuracy. Perform ad-hoc analyses to inform product priorities (e.g., identify content gaps, high-failure dialogs).
 </li>
 <li>
 
 Process Improvement:
 
 Identify opportunities for data process improvements, recommend system modifications, and automate reporting workflows to enhance efficiency.
 </li>
 <li>
 
 Stakeholder Collaboration:
 
 Work closely with cross-functional teams (e.g., AI Product Managers, AI Scientists and AI Engineers) to understand their data needs, gather reporting requirements, and provide analytical support.
 </li>
 </ul>
 
 
 
 
 
 PREFERRED SKILLS AND QUALIFICATIONS
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor&rsquo;s degree in Computer Science, Data science, Statistics, mathematics, or a related field.
 </li>
 <li>
 
 Experience:
 
 Proven experience (3-5 years preferred) as a Data Analyst, BI Analyst or Reporting Analyst, ideally within the banking/financial services industry or working with AI products/digital journey design.
 </li>
 <li>
 
 Technical Skills:
 
 SQL, Power BI, Python, NLP, ETL
 </li>
 </ul>
 
 -High proficiency in SQL Databases / data warehouse on-prem (Postgres, MongoDB, Oracle, SQL server, Sybase)
 
 
 -Expertise in BI and data visualization tools (e.g., Microsoft Power BI).
 
 
 -Understanding of data warehousing, ETL processes, and database design concepts.
 
 
 -Familiarity with statistical software or programming languages like Python for advanced analytics.
 
 
 -Familiarity with NLP models, LLMs and ML lifecycle (model versioning, inference tagging).
 
 
 -Familiarity with ML observability tools (Grafana integration, MLflow metrics) and model explainability tools.
 
 
 -Familiarity with vector databases (Qdrant/FAISS/ Weaviate), retrieval metrics and conversational analytics tooling.
 
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Strong analytical, problem-solving, and critical-thinking skills with keen attention to detail.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to present complex information clearly to diverse audiences.
 </li>
 <li>
 Ability to work independently and collaboratively in a dynamic, fast-paced environment.
 </li>
 <li>
 Proactive mindset and intellectual curiosity about data and emerging AI technologies.
 </li>
 </ul>
</div>

Data Analyst - Data Analytics & Reporting

Kasrawy Group Careers

<div>
 Job Overview:
 
 
 We are seeking a highly analytical and detail-oriented purchasing data analyst to join our team. The ideal candidate will have a strong understanding of data analysis and purchasing processes, and will be responsible for managing and analyzing data related to our purchasing activities. This is a full-time position based in 6th of October City, Egypt.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect and analyze purchasing data to identify trends, patterns, and opportunities for cost savings
 </li>
 <li>
 Monitor inventory levels and make recommendations for purchasing decisions
 </li>
 <li>
 Collaborate with purchasing team to develop and implement purchasing strategies
 </li>
 <li>
 Maintain accurate and up-to-date purchasing records and reports
 </li>
 <li>
 Identify and resolve any discrepancies in purchasing data
 </li>
 <li>
 Communicate with suppliers to negotiate pricing and terms
 </li>
 <li>
 Stay up-to-date on industry trends and best practices in purchasing and data analysis
 </li>
 <li>
 Use data visualization tools to create reports and presentations for management
 
 
 
 </li>
 </ul>
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Business Administration, Supply Chain Management, or related field
 </li>
 <li>
 2+ years of experience in data analysis and/or purchasing
 </li>
 <li>
 Strong analytical skills with the ability to interpret and present data
 </li>
 <li>
 Proficient in Microsoft Excel and data visualization tools (e.g. Tableau, Power BI)
 </li>
 <li>
 Excellent communication and negotiation skills
 </li>
 <li>
 Detail-oriented with a high level of accuracy
 </li>
 <li>
 Ability to work independently and in a team environment
 </li>
 <li>
 Knowledge of purchasing processes and supply chain management is a plus
 
 
 
 </li>
 </ul>
 We Offer:
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Opportunities for growth and career development
 </li>
 <li>
 Dynamic and collaborative work environment
 </li>
 <li>
 Training and support for professional development
 
 
 
 </li>
 </ul>
 If you are a self-motivated and analytical professional with a passion for data and purchasing, we encourage you to apply for this exciting opportunity. Join our team at Kasrawy Group and be a part of our mission to provide exceptional products and services to our customers.
</div>

Purchasing Data Analyst

Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics.
 
 
 He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 
 
 &bull; Integration of advanced AI features into Power BI reports.
 
 
 &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 
 
 &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 
 
 &bull; Embedding machine learning models into Power BI using Azure ML.
 
 
 &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 
 
 &bull; Participate in code and design reviews to maintain a high-quality codebase.
 
 
 &bull; Collaborate across teams to help with AI adoption and best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 
 
 &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 
 
 &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 
 
 &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 
 
 &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 
 
 &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 
 
 &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 
 
 &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 
 
 &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 
 
 &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

AI Developer

Startup Caliber

<div>
 
 
 About the Role
 
 
 
 We are seeking a highly analytical and detail-oriented
 
 Senior Business Intelligence Analyst
 
 to lead the development and optimization of BI solutions that empower business decisions. The ideal candidate will transform complex data into meaningful insights, build dashboards, and guide teams on data-driven actions.
 
 
 
 Key Responsibilities
 
 
 
 
 1. Data Analysis &amp; Insights
 
 
 <ul>
 <li>
 Analyze large, complex datasets to identify trends, patterns, anomalies, and business opportunities.
 </li>
 <li>
 Provide actionable insights to stakeholders across departments (finance, operations, marketing, sales).
 </li>
 <li>
 Build and maintain KPI frameworks and performance monitoring tools.
 </li>
 </ul>
 
 
 2. BI Tools &amp; Dashboard Development
 
 
 <ul>
 <li>
 Create, manage, and optimize dashboards and reports using tools such as:
 </li>
 <li>
 Power BI
 </li>
 <li>
 Tableau
 </li>
 <li>
 Looker Studio
 </li>
 <li>
 Qlik
 </li>
 <li>
 Ensure dashboards are visually appealing, accurate, and aligned with business needs.
 </li>
 </ul>
 
 
 3. Data Modeling
 
 
 <ul>
 <li>
 Develop and maintain scalable data models, ETL processes, and data pipelines.
 </li>
 <li>
 Work with data engineers to improve data infrastructure, enhance data quality, and ensure data availability.
 </li>
 </ul>
 
 
 4. Business Partnering
 
 
 <ul>
 <li>
 Work closely with senior leadership to understand business challenges and propose data-driven solutions.
 </li>
 <li>
 Translate business requirements into technical specifications.
 </li>
 <li>
 Present insights and recommendations to executives and non-technical stakeholders.
 </li>
 </ul>
 
 
 5. Reporting &amp; Documentation
 
 
 <ul>
 <li>
 Prepare detailed weekly, monthly, and quarterly analysis reports.
 </li>
 <li>
 Document data definitions, processes, and business rules.
 </li>
 <li>
 Implement best practices for BI reporting and data governance.
 </li>
 </ul>
 
 
 6. Continuous Improvement
 
 
 <ul>
 <li>
 Identify opportunities to automate reports and optimize BI workflows.
 </li>
 <li>
 Stay updated with the latest BI technologies, analytics methodologies, and data visualization trends.
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 5&ndash;7+ years of experience in BI, data analysis, or data analytics.
 </li>
 <li>
 Proven experience in developing dashboards and analytical solutions.
 </li>
 <li>
 Experience working with large datasets in fast-paced environments.
 </li>
 </ul>
 
 
</div>

Senior Business Intelligence Analyst

Vezeeta

<div>
 
 Job Summary
 
 
 
 We are seeking a highly motivated and detail-oriented Junior Data Analyst to join our data-driven team. As a Data Analyst, you will play a crucial role in supporting data-related activities within our organization. You will work closely with senior data analysts and other team members to collect, analyze, and present data insights that inform decision-making and drive business growth. This is an excellent opportunity for a recent graduate or entry-level professional to gain valuable experience in the field of data analysis.
 
 
 Data Collection and Cleaning: Collect and compile data from various sources, ensuring data accuracy and completeness. Perform data cleaning and transformation as necessary to prepare it for analysis.
 
 
 <ul>
 <li>
 Data Analysis: Assist in conducting data analysis using statistical methods, data visualization tools, and data analysis software. Summarize findings in clear and concise reports.
 </li>
 <li>
 Data Visualization: Create visually appealing and informative charts, graphs, and dashboards to present data insights to stakeholders. Use tools such as Tableau, Power BI, or Excel for visualization.
 </li>
 <li>
 Report Generation: Prepare regular and ad-hoc reports to communicate key metrics and findings to the team and management. Ensure reports are accurate and delivered on time.
 </li>
 <li>
 Data Quality Assurance: Help maintain data quality standards by identifying and resolving data discrepancies or inconsistencies. Collaborate with other team members to establish data quality protocols.
 </li>
 <li>
 Collaboration: Work closely with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and deliver actionable insights.
 </li>
 <li>
 Research and Learning: Stay up-to-date with industry trends and best practices in data analysis. Continuously expand your knowledge and skills in data analytics techniques and tools.
 
 
 </li>
 </ul>
 
 Requirements And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline.
 </li>
 <li>
 Strong analytical skills and a passion for working with data.
 </li>
 <li>
 1 year of experience
 </li>
 <li>
 Proficiency in data analysis tools and programming languages such as Excel, SQL.
 </li>
 <li>
 Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
 </li>
 <li>
 Excellent communication skills, with the ability to translate complex data into understandable insights.
 </li>
 <li>
 Detail-oriented and capable of maintaining data accuracy and integrity.
 </li>
 <li>
 Strong problem-solving skills and the ability to think critically.
 </li>
 <li>
 Highly organized and able to manage multiple tasks and deadlines effectively.
 </li>
 <li>
 Team player with a collaborative mindset and the ability to work well in a diverse team environment.
 </li>
 <li>
 Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis.
 </li>
 </ul>
</div>

Data Analyst

Konecta

<div>
 
 Position Summary:
 
 
 The Reporting Analyst plays a pivotal role in driving data-informed decisions across international
 
 
 BPO operations. This role is responsible for designing, maintaining, and optimizing global reporting
 
 
 frameworks, KPIs, and dashboards that measure operational performance, customer satisfaction,
 
 
 workforce
 
 
 efficiency, and strategic initiatives. The successful candidate will act as a critical partner to cross-
 
 
 functional
 
 
 teams, ensuring timely delivery of actionable insights in a fast-paced, metrics-driven environment.
 
 
 
 
 
 Key Responsibilities:
 
 
 ● Collect, clean, organize, and analyze large volumes of structured and unstructured data from multiple
 
 
 global sources including customer interactions, QA surveys, WFM platforms, CRMs, and internal
 
 
 systems.
 
 
 ● Develop, automate, and maintain global reports and dashboards (e.g., Looker, Power BI) that
 
 
 monitor key KPIs across clients, markets, and contact center sites.
 
 
 ● Design and maintain relational databases and reporting tools that enable self-service analytics across
 
 
 operational teams.
 
 
 ● Perform root cause analyses and trend forecasting to provide strategic insights on service delivery,
 
 
 efficiency, and customer experience.
 
 
 ● Collaborate with global functional leads in Workforce Management, Quality, Training, and Client
 
 
 Services to align metrics, standardize reporting, and define best practices.
 
 
 ● Translate data into compelling narratives and visual presentations for executive stakeholders.
 
 
 ● Present monthly and quarterly business reviews to leadership and clients with a focus on data-driven
 
 
 recommendations.
 
 
 ● Maintain robust documentation and ensure consistent application of data governance policies across
 
 
 reporting systems.
 
 
 ● Drive continuous improvement through automation, AI-based insights, and integration of new
 
 
 
 
 
 analytics tools.
 
 
 ● Support RFPs, client audits, and contract renegotiations with data and performance evidence.
 
 
 
 
 
 Must-Have Qualifications and Skills:
 
 
 ● Experience (4+y) in a global reporting, analytics, or business intelligence role, working in multi-
 
 
 country BPO operations, global shared services or high-volume customer operations.
 
 
 ● Strong analytical mindset and exceptional attention to detail.
 
 
 ● Proficiency in data analytics and visualization tools: Excel (advanced), SQL, Looker, Power BI.
 
 
 ● Strong understanding of customer experience or service delivery metrics and performance
 
 
 management frameworks.
 
 
 ● Ability to synthesize complex data sets into actionable insights.
 
 
 ● Proven experience managing dashboards and operational reports in BPO, shared services, or
 
 
 customer service environments.
 
 
 ● Outstanding written and verbal communication skills.
 
 
 ● Demonstrated autonomy in managing multiple projects, deadlines, and stakeholder expectations.
 
 
 ● Strong critical thinking, problem-solving, and storytelling abilities.
 
 
 ● Bachelor&amp;#39;s degree in Statistics, Mathematics, Computer Science, Business Analytics, or related field.
 
 
 ● Fluency in English; additional languages are a plus.
 
 
 
 
 
 Preferred Qualifications (Nice-to-Have):
 
 
 ● Familiarity with workforce management, quality assurance, or gamification platforms (e.g.,
 
 
 Centrical, NICE, Genesys).
 
 
 ● Experience with ETL processes and data warehousing solutions.
 
 
 ● Background in predictive modeling, segmentation, or customer behavior analytics.
 
 
 ● Certification in Tableau, Power BI, or data analytics frameworks.
 
 
 
 
 
 What Success Looks Like:
 
 
 ● Consistently delivers accurate, timely, and insightful reports.
 
 
 ● Enables leadership to make fast, informed decisions.
 
 
 
 
 
 ● Acts as a data champion, standardizing and elevating reporting practices across geographies.
 
 
 ● Anticipates risks and opportunities based on trends before they impact performance.
 
</div>

Reporting Analyst - BPO Industry

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