Job Title : Business Data Analyst, Product
Salary : $70,000–$100,000 a year
Company : EXL Services
Location : Toronto, ON
Qualifications : Any Graduate
ABOUT EXL SERVICES
EXL Services, founded in New York, is a leading issuer of operations control and analytics services. Established in 1999, the employer gives a wide variety of solutions to worldwide groups in industries along with insurance, healthcare, banking, and utilities.
EXL stands for Excellence, and the corporation prides itself on delivering transformative consequences for its customers thru digital intelligence, deep area expertise, and operational excellence.
With a global workforce of over 32,000 specialists, EXL operates in a couple of countries including the US, India, the Philippines, Romania, and others. The enterprise’s offerings consist of business manner control, finance and accounting services, studies and analytics, and technology platforms.
EXL leverages superior technologies consisting of artificial intelligence, system learning, and robotic technique automation to force efficiencies and innovation throughout its service offerings.
In addition to its client-targeted answers, EXL emphasizes a robust dedication to company social obligation, selling sustainability, moral practices, and community engagement. The agency keeps to enlarge its capabilities and global footprint, aiming to stay at the leading edge of the enterprise in turning in price and innovation to its clients international.
Job Overview
As a Business Data Analyst, your position revolves around interpreting complicated information, analysing results the usage of statistical strategies, and supplying ongoing reports. You’ll be answerable for identifying traits, patterns, and correlations as a way to help make strategic enterprise selections. Your know-how in SQL, Excel, and information visualization tools will be crucial in crafting insightful shows for stakeholders. Collaborating with groups across departments, you’ll make a contribution to improving operational efficiencies and optimizing enterprise techniques. Your capacity to translate records into actionable pointers will power enterprise boom and aggressive benefit, making you an integral a part of shaping future techniques and ensuring statistics-pushed choice-making at each degree of the organization.
Requirements and skills for Business Data Analyst
- Analytical Skills: A strong foundation in analytical wondering is vital. You should be able to dissect huge datasets, discover traits, styles, and correlations, and draw meaningful insights that make a contribution to commercial enterprise strategy and choice-making.
- Technical Proficiency: Proficiency in records querying languages together with SQL is critical for extracting and manipulating data from databases. Additionally, familiarity with statistical software program (e.g., R, Python) and facts visualization equipment (e.g., Tableau, Power BI) is tremendously useful for facts analysis and presentation.
- Business Acumen: Understandings techniques and goals is key to contextualizing statistics insights. You ought to be capable of align analytical findings with commercial enterprise objectives, supplying actionable hints that drive operational efficiency and strategic initiatives.
- Communication Skills: Clear and concise communique is critical for conveying complicated records findings to non-technical stakeholders. You have to be adept at creating visually compelling displays and reports that efficaciously talk insights and recommendations.
- Attention to Detail: Data accuracy and integrity are paramount. A meticulous technique to facts cleaning, validation, and analysis ensures reliable consequences that aid informed selection-making.
- Team Collaboration: Business Data Analysts work carefully with pass-useful teams such as advertising and marketing, finance, and operations. Collaborative abilities are vital to understand various views, collect requirements, and integrate comments into records analysis tasks.
7.Team Collaboration: Business Data Analysts work closely with cross-functional teams including marketing, finance, and operations. Collaborative skills are necessary to understand diverse perspectives, gather requirements, and integrate feedback into data analysis projects. - Project Management: Ability to control a couple of tasks concurrently, prioritize obligations, and meet cut-off dates is crucial. Experience with agile methodologies or mission management tools enables in coordinating tasks efficiently.
- Statistical Analysis: Strong statistical talents enable you to use suitable techniques (e.g., regression evaluation, speculation checking out) to explore relationships within statistics sets, validate assumptions, and derive actionable insights.
- Domain Knowledge: Familiarity with particular industries (e.g., healthcare, retail, finance) or business capabilities (e.g., marketing analytics, supply chain management) complements your potential to interpret statistics in applicable contexts and recommend industry-particular answers.
- Data-driven Decision Making: A commitment to leveraging facts to drive decision-making methods across the enterprise. Your insights need to make a contribution to improving efficiencies, lowering charges, and enhancing patron delight.
- Continuous Learning: The subject of facts evaluation is dynamic and constantly evolving. A proactive method to staying up to date with emerging technology, industry developments, and great practices is vital for maintaining relevance and effectiveness.
- Ethical Considerations: Awareness of information privacy guidelines (e.g., GDPR, CCPA) and ethical pointers is vital. Upholding statistics confidentiality and making sure responsible use of records are essential aspects of the role.
- Education and Experience: Typically, a bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a associated subject is required. Relevant paintings enjoy in facts evaluation, commercial enterprise intelligence, or a associated discipline is frequently favoured. Certifications in facts evaluation (e.g., Certified Analytics Professional) can also be nice.
- Critical Thinking: The capability to evaluate records resources significantly, investigate the validity of assumptions, and task conventional questioning ensures that your analyses are strong and insightful.
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