Reporting and Analytics Senior Analyst

Reporting and Analytics Senior AnalystEquinix 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 summaryResponsible for analyzing data trends and supporting and developing improvement changes.ResponsibilitiesData Analysis and InterpretationCollaborate with multi-functional teams to understand business objectives and define data requirementsCollect, clean, and preprocess raw data from various sources to ensure its accuracy and integrityApply statistical analysis techniques to uncover trends, patterns, and insights within the dataTableau VisualizationDevelop interactive and visually compelling Tableau dashboards and reports that effectively communicate sophisticated data insights to partnersBuild customized visualizations, graphs, charts, and maps to facilitate data-driven decision-makingOptimize Tableau dashboards for performance, usability, and responsivenessData Science TechniquesApply advanced data science techniques, such as predictive modeling, clustering, classification, and regression, to solve business problemsApply machine learning algorithms to develop predictive models and find opportunities for process improvementAPI and JSON Data ExtractionUtilize APIs and JSON data sources to extract relevant data for analysis, visualization, and modeling purposesDevelop scripts or tools to automate the extraction and transformation of data from APIs into usable formatsInsightful ReportingPresent analysis results and insights to non-technical partners through clear and concise reports, presentations, and visualizationsTranslate technical findings into practical recommendations that drive business strategiesData Governance and QualityAssist in establishing data governance practices to ensure data accuracy, consistency, and compliance with industry standards and regulationsImplement data validation and quality checks to maintain the integrity of the data used for analysisContinuous Learning and InnovationStay ahead with industry trends, standard processes, and emerging technologies in data science and analyticsProactively suggest innovative approaches to data analysis and visualization that can enhance decision-making processesQualificationsBachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Master's degree is a plusDemonstrable experience (4 years) as a Tableau Developer or Data Analyst, with a solid portfolio of Tableau dashboards and data visualization projectsProficiency in data manipulation, analysis, and visualization using tools like Tableau, Python, R, or similarSolid understanding of statistical concepts and data science methodologiesExperience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) is desirableStrong problem-solving skills and the ability to translate complex technical concepts to non-technical partnersGood communication skills to convey findings and recommendations effectivelyAttention to detail and a commitment to data accuracy and qualityExperience with SQL and data querying is a plusKnowledge of database management and data warehousing concepts is advantageousRequired SkillsProficiency in Tableau for creating interactive and visually appealing data visualizationsStrong programming skills in languages such as Python, R, or similar for data analysis and manipulationFamiliarity with statistical analysis techniques and data modeling conceptsExperience with machine learning algorithms and libraries for predictive modeling and data-driven insightsGood communication skills to effectively present findings and insights to both technical and non-technical audiencesKnowledge of data governance and quality assurance practicesExperience with SQL for data querying and manipulation is preferredFamiliarity with database concepts and data warehousing is a plusPower BI/Looker experience is also a plusCertification in Tableau/ML coursesEquinix 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 by completing this form.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.Visit our Career page here to understand about Equinix COVID-19 Vaccine Policy.