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**Job Summary**:Are you passionate about data and believe that analytics should shape the future of a company? Do numbers speak to you, and do you enjoy uncovering trends and patterns? If you thrive on transforming data into actionable intelligence and enjoy exploring new tools and technologies, we want to hear from you.**About the Role**:- ** Data Analysis & Insights**: Extract, explore, and analyze multi-dimensional datasets to provide actionable insights for internal stakeholders, including the newsroom, product, sales, and strategy teams.- ** Stakeholder Engagement**: Hold regular discussions with stakeholders to gather and refine requirements and ensure analyses meet their needs.- ** Ownership of Analytics Process**: Own the end-to-end analytics process for at least one functional unit, guiding data stewards on proper data usage.- ** KPI & Metrics Management**: Recommend, track, and report on KPIs, OKRs, and other metrics used by leaders of functional units.- ** Dashboard Development**: Develop, build, and maintain dashboards (Tableau or Power BI) and ensure their proper usage.- ** Data Governance**: Work closely with the data governance lead to monitor data usage and flag any incorrect or inappropriate usage.- ** Project Management**: Estimate, prioritize, and communicate deliverables within the team and with stakeholders.- ** Collaboration**: Collaborate with the data engineering team to identify relevant datasets, data flow, and data formats.- ** Quality Assurance**: Conduct periodic quality checks to ensure data accuracy.- ** Continuous Improvement**: Suggest ways to improve the efficiency and effectiveness of data usage within the company.- ** Team Support & Mentorship**: Assist team members when needed and mentor junior analysts.- ** Explorative & Analytical**: Boldly explore data, question assumptions, and work well within a team.- ** Interest in Media**: While interest in world events and media is preferred, it is not a requirement if you demonstrate a willingness and capacity to learn.- ** Self-Starter**: Curious and proactive in exploring large volumes of data and working across the organization.- ** Insightful**: Capable of identifying, assessing, and reviewing data to proactively present strategic insights.- ** Data Analysis Experience**: Proven experience in data analysis across various fields, including web analytics, customer analysis, and product performance metrics.- ** Technical Skills**: Knowledge of statistical methods and tools (Alteryx, Python, Machine Learning, Predictive Analysis).- ** Innovative Thinking**: Provide innovative analysis ideas and present concise, actionable insights to senior management.- ** Problem Solver**: Efficiently analyze new requirements, build processes, and deliver timely solutions.- ** Team Player**: Energetic, eager to learn, communicative, and collaborative.- ** Attention to Detail**: Keen eye for spotting data irregularities and performing ongoing data sanity checks.**About you**:- Degree in Mathematics, Statistics, Business, Computer Science, Engineering, or a related technical field.- Minimum 5 years of experience in data analysis, building dashboards, and extracting actionable insights for senior management.- Proficiency in data visualization tools (Tableau, Qlik View, Power BI), Intermediate/Advanced SQL queries, Excel, and PowerPoint.- Experience with Big Data or Data Warehousing tools, preferably Snowflake.- Minimum 3 years of experience in Data Science with hands-on programming in Python.- Experience in Regression, Classification, Text Mining, Text Classification, Forecasting, and Clustering.- Excellent communication skills and a team player attitude.- Ability to conceptualize and build interactive dashboards.- Flexibility to meet changing business priorities.- Knowledge of news and current affairs; familiarity with financial news is an added advantage.- Ability to quickly assimilate new information.LI-AM1**What's in it For You?**You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:- ** Hybrid Work Model**: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected- ** Wellbeing**: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.- ** Culture**:Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and mor
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