Data Analytics Manager Job at Rothy's (San Francisco)

Data Analytics Manager

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree OR Bachelor’s degree and 8 to 13 years of in Scrum teams management or related field experience

Job Responsibility

Own the onsite security automation team, providing guidance, support, and mentoring to ensure the effectiveness of security operations
Continuously supervise and maintain the automation platform and ensure that all systems and applications are up to date with the latest security patches and updates
Supervise the design, implementation, and maintenance of automation playbooks and systems, ensuring they meet the needs of the organization.
Manage the integration of new and existing security tools and platforms, ensuring they operate cohesively and optimally.
Ensure compliance with relevant regulations (e.g., GDPR, HIPAA) and industry standards (e.g., ISO 27001, NIST)
Continuously supervise and improve the organization’s security posture, staying ahead of with the latest threats and standard methodologies
Collaborate with stakeholders to establish and supervise KPIs related to SAFe implementation
Generate and maintain security reports, metrics, and dashboards for management review
Keep up to date with the latest security threats, trends, and technologies, and provide recommendations for improving security operations
Build and deliver knowledge sharing presentations and documentation to educate developers and operations teams on application security standard methodologies and secure coding techniques

Fulltime

Data Analytics Manager

As the Data Analytics Manager at Radix, you will lead the evolution of analytics...

Location

Kosovo , Prishtine

Salary:

Not provided

Radix (AZ)

Expiration Date

Until further notice

Requirements

5+ years of experience in data analytics, business intelligence, or related analytical roles, including leadership or team management experience
Proven success leading analytics initiatives that influence strategic business decisions and organizational performance
Expertise in Power BI (or similar BI platforms) with advanced knowledge of data modeling, dashboard development, and reporting strategy
Advanced SQL skills with experience querying, transforming, and analyzing large-scale datasets
Strong leadership and coaching capabilities with the ability to mentor team members and elevate analytical excellence
Excellent communication skills with the ability to translate complex insights into clear recommendations for technical and non-technical audiences
Experience with or strong interest in Python, cloud data platforms (AWS, Snowflake, etc.), and AI/ML-driven analytics solutions
Curiosity: you consistently seek deeper insights, challenge assumptions, and uncover opportunities hidden within the data
Resilience: you thrive in fast-paced environments, navigate ambiguity confidently, and maintain focus through change
Adaptability: you are comfortable shifting priorities, solving evolving business challenges, and scaling processes in a growing organization

Job Responsibility

Lead and mentor a growing analytics team, fostering a culture of accountability, curiosity, collaboration, and continuous improvement
Drive analytics strategy and execution to support business priorities, operational efficiency, and long-term company growth
Build, optimize, and oversee scalable Power BI dashboards and reporting frameworks that enable confident, data-driven decisions
Ensure the integrity, accuracy, and consistency of data across complex systems and high-volume datasets
Partner with executive leadership and cross-functional stakeholders to identify opportunities where analytics can create measurable business impact
Translate ambiguous business challenges into structured analytical approaches, actionable recommendations, and strategic insights
Establish and strengthen data governance, reporting standards, and analytics best practices across the organization
Oversee advanced SQL development and data modeling efforts to improve reporting performance and accessibility
Identify opportunities to streamline analytics workflows, automate reporting processes, and accelerate insight delivery at scale
Contribute to the company’s AI-enabled analytics initiatives by exploring predictive modeling, emerging technologies, and innovative approaches to data intelligence

What we offer

Medical coverage designed to support your wellbeing
Paid Time Off
Pre-IPO Equity
Performance Bonus
Learn from the best
Build category-defining products

Fulltime

Data Analytics Manager

We are looking for a Data Analytics Manager for our European Analytics Team. The...

Location

United Kingdom , Oakham

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Bachelor's degree or equivalent in a numerate subject e.g. Stats, Maths, Physics, Economics, etc
Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, SQL, SAS, R, Python etc)
Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy
Ability to tell compelling stories using data and analytics, to influence decision making at different levels of the business
Fluent English Language skills both spoken and written
Ability to manage stakeholders at various levels and balance conflicting priorities
Ability and drive to champion the adoption of a data-driven, fact-based culture across the EU business
Solid commercial acumen relevant to an online retail business

Job Responsibility

Hands-on analysis of customer, sales and product data using a variety of technical tools (SQL, R, Python, Power BI etc.) to create timely, relevant and actionable insights
Continuously enhance our understanding of our customers through examining customer behaviour data, spotting emerging trends and market influences
Build sophisticated data products to enable quicker, smarter decision making and ensure we have ongoing solutions to business challenges
Identify opportunities for standardisation & automation of existing solutions and processes to enable Lands’ End to realise the maximum potential from our teams
Lead and shape a growing team, providing thought partnership and insight services to teams across the business
Challenge and improve Lands’ End’s analytical capability through development of tools or processes that offer opportunities to Lands’ End
Collaborate with IT to develop the quality and variety of data assets to improve decision-making and speed-to-market
Work closely with key internal stakeholders to ensure sound knowledge of the relevant business areas

Fulltime

Data Analytics Manager

Data and advanced analytics are central to how Amgen accelerates scientific disc...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Any degree and 8-13 years of experience
Bachelor’s degree or higher in life science, data science, computer science, business administration, or a related field
8 - 13 years of experience delivering analytics platforms, advanced analytics, or data science solutions, preferably within Pharma, Biotech, or a regulated industry
Demonstrated experience independently leading and delivering analytics workstreams or complex analytical components end to end
Experience working effectively in globally distributed delivery models, partnering with onshore stakeholders from an offshore location
Strong analytical, problem-solving, and storytelling skills, with the ability to communicate complex concepts to non-technical audiences
Experience applying advanced analytics, AI/ML, GenAI, and statistical techniques to real-world business problems
Proficiency in analytics and visualization tools such as Tableau, Spotfire, or similar
Strong working knowledge of SQL and relational databases (Postgres, MySQL, MSSQL, Oracle, etc.)
Hands-on experience with Python, R, Spark, or similar analytics and data science tools

Job Responsibility

Apply an analytics-first mindset to R&D by designing and delivering advanced analytical solutions using modern statistical, data science, and AI/ML techniques
Independently design, build, implement, launch, and maintain analytical solutions aligned to business strategies, goals, and roadmaps
Serve as a hands-on subject matter expert for data, analytics, and metrics, providing practical, actionable insights to stakeholders
Partner with business stakeholders to understand strategic objectives and translate them into well-scoped analytical approaches
Implement cutting-edge analytics, AI/ML, and automation solutions across R&D use cases
Own delivery of key performance metrics, dashboards, and analytical products, continuously improving efficiency, quality, and scalability
Collaborate closely with onshore DDS leaders, business partners, and IS/DTI teams to deliver analytics solutions aligned to global DDS standards
Establish active communication with teams across functions and geographies to ensure global alignment and consistent delivery
Participate in regular working-hour overlap with global stakeholders to support effective collaboration, rapid issue resolution, and delivery transparency
Partner with Business Product Owners on requirements gathering, user stories, UAT, deployments, training, and end-user support

What we offer

Full support and career-development resources to expand your skills and maximize your potential
A diverse and inclusive community of belonging, where teammates are empowered to contribute and lead
Competitive total rewards supporting health, wealth, work/life balance, and career growth

Fulltime

Data Analytics Manager

We are seeking a Data Analytics Manager to lead analytics and data engineering e...

Location

United States , Los Angeles

Salary:

160000.00 - 180000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering, analytics, or related roles
Proven experience in Retail, Merchandise Planning/Buying, or Supply Chain/Logistics environments
Advanced SQL skills, including writing complex queries from scratch
Fluency in Python and/or R for statistical analysis and modeling
Hands-on experience with data visualization tools such as Tableau, Looker, or Excel
Experience building, deploying, and maintaining scalable data systems and analytics tools

Job Responsibility

Lead the design, development, and optimization of scalable analytics and data engineering solutions
Translate business questions into analytical frameworks, models, and dashboards
Partner with Retail, Merchandise Planning/Buying, and Supply Chain teams to drive data-informed decisions
Build and productionize tools and systems that improve data reliability, accessibility, and performance
Mentor and guide analysts and engineers, setting best practices for analytics and data quality
Present insights and recommendations to senior stakeholders in a clear, compelling way

What we offer

medical
vision
dental
life and disability insurance
company 401(k) plan

Fulltime

Data Analytics Manager - Everyday Banking

We are seeking an experienced and strategic Analytics Manager to lead the Everyd...

Location

Spain , Barcelona

Salary:

Not provided

N26

Expiration Date

Until further notice

Requirements

5+ years of experience as an individual contributor in analytics or a related field
1+ year of experience managing people, leading a team of 3-4 data analysts
Proven track record of driving business impact through data
Deep expertise in causal inference & impact measurement (uplift modeling, quasi-experiments, counterfactuals)
Strong track record designing and scaling A/B, multivariate, and observational analyses
Ability to structure ambiguous business problems into rigorous analytical frameworks
High proficiency in SQL and Python/R
Experience leveraging LLMs and conversational interfaces for self-serve analytics
Communicates complex insights clearly using modern BI tools (Tableau, Looker, Metabase, Superset)
Confident communicator with fluency in English

Job Responsibility

Help set the right goals: define and align domain-level KPIs and OKRs
Inform product roadmap: drive analytics roadmap, proactively identify opportunities, risks, trends
Be a strategic partner: act as trusted advisor to senior stakeholders
Handle stakeholders: own relationships with senior stakeholders across Product, Marketing, Tech and Leadership
Evaluate initiatives: oversee experimentation and measurement strategy
Contribute to self-serve data platform: drive development of scalable analytics foundations
Provide monitoring tools: ensure team delivers high-quality dashboards and monitoring systems
Improve data literacy of organisation: scale data literacy across the organization
Be part of our data-community: lead collaboration across analytics teams
Guide teams in discovering new product opportunities

What we offer

Competitive personal development budget
Work from home budget
Discounts to fitness & wellness memberships
Language apps
Public transportation
Premium subscription on personal N26 bank account
Subscriptions for friends and family members
Relocation package with visa support

Fulltime

New

Engineering Manager, Data & Analytics

As Engineering Manager for our Data & Analytics team, you will lead a team of 4-...

Location

Germany , Berlin

Salary:

Not provided

Staffbase

Expiration Date

Until further notice

Requirements

Proven experience at Staff Engineer level (or equivalent) in a data engineering context. You have been deep in the technical work and now want to lead people
A genuine player-coach mindset
Strong stakeholder management skills. You thrive in negotiation, can push back confidently, and know how to reach workable compromises with product teams
Solid data modeling skills and the credibility to make it a team-wide standard
Experience managing or developing engineers. Coaching technical fundamentals and growing product thinking
Strong communication skills and the ability to drive a cultural shift toward distributed, self-service data ownership
Comfort operating across both platform and product delivery contexts

Job Responsibility

Lead and develop a team of 4-5 engineers: coaching, unblocking delivery, and building a product-minded data engineering culture
Own the team's roadmap sequencing. Negotiating priorities with product stakeholders, pushing back where needed, and finding constructive compromises
Mediate between platform and product demands: the team operates across data platform and product delivery simultaneously, and you will balance both
Bring hands-on experience in Data streaming to guide the team through an active transition
Raise the bar on data modeling across the team
Drive the cultural and technical shift toward distributed data ownership, helping product teams progressively own their own data
With your extensive Data Engineering experience you will collaborate with the broader staff engineering community on cross-cutting architectural decisions where needed
Build the foundations for AI data governance — as agentic analytics becomes customer-facing, you will need to think through guardrails, access control, and safety for AI agents interacting with data

What we offer

Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)
Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
Support - we offer offering a company pension scheme
Volunteers Day - you’ll get one day off per year for supporting a social project

Fulltime

Senior Manager, Data & Analytics

We are seeking a strategic and technically strong Senior Manager, Data & Analyti...

Location

United States , Cedar Knolls

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of experience in data analytics, preferably within agency, marketing, growth, or customer-focused environments
Bachelor's degree in Data Analytics, Business Intelligence, Data Governance, or a related field
advanced degree preferred
Proven experience integrating data from multiple sources into unified analytical models
Strong background in statistics, econometrics, applied mathematics, or related quantitative disciplines
Experience developing scoring systems, attribution models, segmentation frameworks, and other advanced analytical solutions tied to business outcomes
Ability to communicate complex analytical findings to executive and non-technical audiences
Experience balancing hands-on analytics with leadership responsibilities
prior people management experience preferred
Strong proficiency with Microsoft SQL, Power BI, Excel, and related analytics and reporting tools

Job Responsibility

Enterprise Data Strategy & Integration: Design and manage a unified data ecosystem integrating sales, marketing, CRM, web analytics, and operational data
Develop scalable data models and frameworks that provide full-funnel visibility from acquisition through retention and revenue
Establish governance, validation, and data quality standards to ensure accuracy and consistency
Advanced Analytics & Decision Science: Develop scoring models, segmentation frameworks, and prioritization methodologies to identify growth opportunities
Conduct statistical analysis, correlation studies, predictive modeling, and causal inference to uncover performance drivers
Build attribution models to measure marketing and sales effectiveness
Translate analytical findings into actionable business recommendations and strategic decision frameworks
Performance Optimization & Measurement: Create measurement frameworks spanning awareness, engagement, conversion, retention, and customer lifetime value
Identify opportunities and friction points throughout the customer journey
Define, monitor, and optimize KPIs aligned with business growth objectives

What we offer

medical benefits
vision benefits
dental benefits
life insurance
disability insurance
401(k) plan

Fulltime

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