Reporting and Analytics Senior Analyst
- Posted 25 October 2023
- LocationSingapore
- Job type Full-Time
- ReferenceJR-140643
Company's Benefits
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Leadership Development Program
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Mentorship Program
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Paid Parental Leave
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Return to Work Policy
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Childcare Facilities
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Flexible Working Arrangements
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Breastfeeding Rooms
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Sponsorship Program
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Coaching Program
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Raise Numbers Of Women In Leadership
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Internal Women's Networking Group
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Equal Pay Initiatives
Job Description
Reporting and Analytics Senior Analyst
Equinix is the world’s digital infrastructure company, operating 240+ data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed.
We are a fast-growing global company with 20 years of continuous growth. Through our innovative portfolio of high-performance products and services, we have created the largest, most active global ecosystem of 10,000+ companies, including 2,100 networks and 3,000+ cloud and IT service providers in 32 countries spanning six continents.
A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment. that is foundational to our core values as a company and is vital to our success.
Job summary
Responsible for analyzing data trends and supporting and developing improvement changes.
Responsibilities
Data Analysis and Interpretation
Collaborate with multi-functional teams to understand business objectives and define data requirements
Collect, clean, and preprocess raw data from various sources to ensure its accuracy and integrity
Apply statistical analysis techniques to uncover trends, patterns, and insights within the data
Tableau Visualization
Develop interactive and visually compelling Tableau dashboards and reports that effectively communicate sophisticated data insights to partners
Build customized visualizations, graphs, charts, and maps to facilitate data-driven decision-making
Optimize Tableau dashboards for performance, usability, and responsiveness
Data Science Techniques
Apply advanced data science techniques, such as predictive modeling, clustering, classification, and regression, to solve business problems
Apply machine learning algorithms to develop predictive models and find opportunities for process improvement
API and JSON Data Extraction
Utilize APIs and JSON data sources to extract relevant data for analysis, visualization, and modeling purposes
Develop scripts or tools to automate the extraction and transformation of data from APIs into usable formats
Insightful Reporting
Present analysis results and insights to non-technical partners through clear and concise reports, presentations, and visualizations
Translate technical findings into practical recommendations that drive business strategies
Data Governance and Quality
Assist in establishing data governance practices to ensure data accuracy, consistency, and compliance with industry standards and regulations
Implement data validation and quality checks to maintain the integrity of the data used for analysis
Continuous Learning and Innovation
Stay ahead with industry trends, standard processes, and emerging technologies in data science and analytics
Proactively suggest innovative approaches to data analysis and visualization that can enhance decision-making processes
Qualifications
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Master's degree is a plus
Demonstrable experience (4 years) as a Tableau Developer or Data Analyst, with a solid portfolio of Tableau dashboards and data visualization projects
Proficiency in data manipulation, analysis, and visualization using tools like Tableau, Python, R, or similar
Solid understanding of statistical concepts and data science methodologies
Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) is desirable
Strong problem-solving skills and the ability to translate complex technical concepts to non-technical partners
Good communication skills to convey findings and recommendations effectively
Attention to detail and a commitment to data accuracy and quality
Experience with SQL and data querying is a plus
Knowledge of database management and data warehousing concepts is advantageous
Required Skills
Proficiency in Tableau for creating interactive and visually appealing data visualizations
Strong programming skills in languages such as Python, R, or similar for data analysis and manipulation
Familiarity with statistical analysis techniques and data modeling concepts
Experience with machine learning algorithms and libraries for predictive modeling and data-driven insights
Good communication skills to effectively present findings and insights to both technical and non-technical audiences
Knowledge of data governance and quality assurance practices
Experience with SQL for data querying and manipulation is preferred
Familiarity with database concepts and data warehousing is a plus
Power BI/Looker experience is also a plus
Certification in Tableau/ML courses
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.