Data Analyst
About the Role
Join our dynamic analytics team as a Data Analyst and become the driving force behind data-driven decision making at OmniTech Solutions. You'll be responsible for analyzing complex data sets to provide actionable insights and support critical business decision-making processes across our global BPO operations. This role offers the opportunity to work with cutting-edge analytics tools and technologies while transforming raw data into strategic intelligence that directly impacts client success and operational excellence.
As a Data Analyst at OmniTech Solutions, you'll work with diverse data sources including customer interactions, operational metrics, financial performance, and market trends to identify patterns, trends, and opportunities for improvement. Our analytics team plays a crucial role in optimizing service delivery, enhancing customer satisfaction, and driving business growth through data-driven insights. You'll collaborate closely with stakeholders across different departments including operations, sales, marketing, and senior management to ensure that data analysis aligns with business objectives and strategic goals.
We provide access to state-of-the-art analytics platforms, business intelligence tools, and advanced statistical software to support your analytical work. You'll have the opportunity to work on projects ranging from customer behavior analysis and predictive modeling to operational efficiency optimization and market research. Our team values creativity, critical thinking, and the ability to translate complex data findings into clear, actionable recommendations. This role offers excellent career progression opportunities within our growing analytics division, with potential to advance to senior analyst, data scientist, or analytics manager positions.
What You Will Be Doing
- Analyze large datasets from multiple sources to extract meaningful insights and identify trends, patterns, and anomalies
- Create comprehensive reports and dashboards using business intelligence tools to visualize data and communicate findings
- Develop and maintain data models, statistical models, and predictive analytics to support business forecasting
- Collaborate with stakeholders to understand business requirements and translate them into analytical solutions
- Perform data cleaning, validation, and quality assurance to ensure accuracy and reliability of analytical results
- Conduct A/B testing and experimental analysis to evaluate the effectiveness of business initiatives
- Present findings and recommendations to senior management and cross-functional teams in clear, actionable formats
- Stay updated with industry trends, analytical methodologies, and emerging data technologies
Required Skills & Qualifications
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field
- Minimum 2+ years of data analysis experience in business or research environments
- Proficiency in SQL for data extraction and manipulation from relational databases
- Advanced Excel skills including pivot tables, VLOOKUP, and complex formulas
- Experience with data visualization tools (Tableau, Power BI, or similar BI platforms)
- Strong statistical analysis skills and knowledge of analytical methodologies
- Excellent communication skills with ability to present complex data findings clearly
- Attention to detail and strong problem-solving abilities with analytical mindset
Nice to Have
- Programming experience in Python or R for advanced data analysis and statistical modeling
- Experience with machine learning algorithms and predictive modeling techniques
- Knowledge of big data technologies (Hadoop, Spark, or cloud analytics platforms)
- Previous experience in BPO, customer service, or operations analytics
- Certifications in data analytics, business intelligence, or related fields
- Experience with A/B testing, experimental design, and statistical hypothesis testing
Benefits & Perks
- Competitive salary with performance bonuses
- Health insurance and comprehensive benefits package
- Professional development and training opportunities
- Flexible work arrangements and remote work options
Apply for this Position
Ready to join our team? Send us your application and we'll get back to you soon.
Or apply via emailWe will get back to you if your resume and skills match.