Tiger Analytics

Bachelor's degree in Information Technology, Computer Science, Data Science, or a related field.
Advanced degrees are preferred.
A minimum of 10 years of experience in business intelligence, data analytics, or a related field.
Strong portfolio demonstrating proficiency in BI tools such as Tableau, Power BI, or similar platforms.
Proficiency in SQL and familiarity with programming languages such as Python or R.
Strong understanding of data warehousing concepts, SQL, and data modeling.
Exceptional analytical and problem-solving abilities with meticulous attention to detail.
Strong communication skills with the ability to engage and educate stakeholders on data-driven insights.
Demonstrated leadership capabilities in guiding and mentoring team members and leading cross-functional initiatives.

💡 Responsibilities

Define and advocate for best practices in the visual delivery of information through effective reporting and visualization techniques.
Lead and support the BI Community of Practice, promoting best practices in business intelligence across the organization.
Lead the development of strategic reporting and visualization assets that support key program initiatives.
Collaborate with corporate IT to define and deliver a technology platform that supports ad-hoc and enterprise reporting needs.
Design, build, and maintain sophisticated reports and interactive dashboards using BI tools like Tableau, Power BI, or similar.
Develop compelling visualizations to communicate insights from data analysis and AI initiatives.
Work closely with various business units to understand data requirements and translate them into meaningful and actionable information.
Ensure the accuracy and integrity of data through thorough validation and testing processes.
Provide training and support to business users on the effective use of reporting tools and dashboards.
Keep abreast of the latest trends and advancements in BI technology and data visualization techniques.

PythonSQLBusiness IntelligenceData AnalysisETLTableauReportingData visualizationData modelingData analytics

Posted 25 days ago

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🔥 Data Scientist(Neural Network)

Posted about 1 month ago

📍 United States

🔍 Advanced analytics consulting

🔧 Requirements

4 years of Data Science experience required.
Bachelor's Degree in Data Science, Computer Science, or a related field.
Ability to apply various analytical models to business use cases.
Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
Bias for action, with the ability to deliver outstanding results through task prioritization and time management.

💡 Responsibilities

Work on the latest applications of data science to solve business problems.
Have working experience on Neural network problems and models.
Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers.
Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products.
Collaborate, coach, and learn with a growing team of experienced Data Scientists.
Stay connected with external sources of ideas through conferences and community engagements.
Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.

PythonArtificial IntelligenceData MiningMachine LearningData science

Posted about 1 month ago

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🔥 Data Platform Engineer

Posted about 1 month ago

📍 United States

🔍 Advanced analytics consulting

🔧 Requirements

Proven experience designing and implementing scalable, high-performance data systems in cloud environments.
Advanced knowledge of real-time data streaming platforms such as Apache Kafka and AWS Kinesis.
Expertise in working with AWS for cloud-based data solutions.
Proficiency in Databricks for big data processing and managing data pipelines.
Strong hands-on experience with Scala and Java for developing data-intensive applications.
Familiarity with Apache Spark for distributed data processing.
Experience with Kubernetes or other orchestration frameworks.
Experience writing infrastructure as code.

💡 Responsibilities

Lead the solution design and implementation of end-to-end data pipelines that support real-time streaming and integration across multiple platforms.
Manage and mentor a team of engineers, providing guidance on technical approaches and troubleshooting.
Drive modernization efforts for existing data platforms with cloud-native technologies.
Design and implement robust streaming data pipelines using technologies like Apache Kafka and Kinesis.
Identify bottlenecks in data workflows to improve performance and increase throughput.
Ensure reliability and resilience of the data platform, focusing on monitoring and incident management.
Advise and enforce best practices for data management processes and data quality.
Collaborate with cross-functional teams to deliver business value.

AWSCloud ComputingJavaKubernetesApache KafkaData engineeringScala

Posted about 1 month ago

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🔥 Digital Product Manager - Manufacturing/CPG

Posted about 2 months ago

📍 Canada

🔍 Manufacturing/CPG

🔧 Requirements

CPG & Manufacturing Domain Required.
13+ years of product management with experience creating strategic product roadmaps and working with cross-functional teams in a highly-matrixed environment.
3+ years of CPG beverage demand planning or similar experience.
Experience building and launching products from ideation through launch and revision.
Strong knowledge and experience in agile methodologies, experience working with multiple scrum teams on simultaneous builds.
Experience managing daily technical and design direction.
Bachelor’s degree required; Bachelor’s degree in quantitative or engineering-related field preferred.
Ability to lead others without direct authority.
Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior-level management.
Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.

💡 Responsibilities

Own design, build and deployment of the Manufacturing product in a local market.
Act as the integrator role for all streams of work for the market.
Own and manage the product roadmap and prioritization of features, collaborating with Global manufacturing product managers/CoE.
Manage cross workstream dependencies.
Own overall quality of the product being delivered.
Measure, manage and report on KPIs for the product in the market.
Lead key stakeholders, business engagement, and product managers to socialize product plans and requirements.
Sit alongside the Manufacturing business owner.
Demonstrate passion for excellence related to product design, delivery, and engineering.

AgileProduct ManagementCross-functional Team LeadershipStakeholder managementData analytics

Posted about 2 months ago

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🔥 Data Governance Lead

Posted about 2 months ago

📍 United States

🔍 Advanced analytics consulting

🔧 Requirements

10+ years of experience in data governance, data management, or related fields.
Proven track record of leading cross-functional teams and implementing data governance programs.
Knowledge of industry leading data quality and data protection management practices.
Knowledge of data governance practices and issues related to management of enterprise information assets.
Responsible for designing, establishing, and implementing data governance framework and key artifacts.
Expertise in metadata management and configuration tools like Data Catalog, Business Glossaries.
Understanding of data-related government regulatory requirements and emerging trends.
Proficient in tools such as Collibra, Informatica, Alation, or other data governance platforms.

💡 Responsibilities

Develop and maintain a robust data governance framework, including policies, standards, and best practices.
Define roles and responsibilities related to data governance and ensure accountability across the organization.
Establish and monitor data quality metrics and processes to ensure data accuracy, consistency, and integrity.
Lead initiatives to resolve data-related issues and inconsistencies.
Collaborate with business units, data stewards, and IT teams to ensure alignment with data governance objectives.
Serve as a liaison between business and technical teams to enforce governance policies and resolve conflicts.
Provide insights into governance activities through regular reporting and dashboards.
Analyze and improve the organization’s data lifecycle processes.

Data management

Posted about 2 months ago

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🔥 Sr./Lead Consultant (Canada)

Posted about 2 months ago

📍 Canada

🔍 Advanced analytics consulting

🔧 Requirements

4-6 years of professional work experience with at least 3 years in business data analytics.
Experience working with large data sets focused on business analysis.
Experience working with offshore teams.
Bachelor's degree in business administration or a closely related field, MBA preferred.
Ability to engage with executive/VP level stakeholders to translate business problems into analytics solutions.
Strong project management and team management skills.
Strong SQL skills and excellent knowledge of visualization tools like Tableau.
Knowledge of statistical and machine learning algorithms.
Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus.

💡 Responsibilities

Work on the latest applications of data science to solve business problems.
Participate in discussions to select and apply relevant analytic techniques.
Understand business context by discussing existing data models with senior leaders.
Break down projects into specific tasks involving business analysis and data science.
Direct teams of business analysts to create data-driven solutions.
Architect data analytics frameworks to solve business problems.
Use Data Science, Machine Learning, and AI to develop data models.
Extract, transform, and organize data using SQL.
Validate model results by developing testing frameworks.
Report results and insights using business intelligence tools.
Make presentations to senior management and communicate results to business teams.

PythonSQLData AnalysisHadoop HDFSMachine LearningTableauData visualizationData modeling

Posted about 2 months ago

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🔥 Delivery Lead

Posted 2 months ago

📍 Mexico

🔍 Analytics Consulting

🔧 Requirements

10+ years of experience in analytics consulting or related fields.
Strong project management skills with a record of managing complex projects.
Excellent verbal and written communication skills for stakeholder engagement.
Experience in building and nurturing client relationships for collaboration.
Ability to manage budgets and resources effectively.
Deep understanding of analytics tools and methodologies.
Team leadership experience with a focus on mentoring and talent development.
Degree in a relevant field such as Business, Analytics, or Data Science.

💡 Responsibilities

Lead and mentor a diverse team of analytics professionals, encouraging innovation and ensuring successful project delivery.
Collaborate closely with clients, understanding their needs and guiding them from conception to execution.
Drive operational strategy to scale delivery functions and meet growing client demands.
Establish a culture of continuous improvement using feedback to enhance delivery.
Manage resource allocation, forecasting, and budgeting for operational efficiency.
Showcase analytical expertise by developing and presenting insights that guide business decisions.

LeadershipProject ManagementBusiness IntelligenceData AnalysisClient relationship managementBudgeting

Posted 2 months ago

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🔥 Technical Project Manager- Canada

Posted 4 months ago

📍 Canada

🔍 Advanced analytics consulting

🔧 Requirements

Bachelor's Degree in Computer Science or a similar technical field.
10-12 years of experience, including around 5 years of project management with end-to-end delivery.
Relevant experience in program management and technology architecture.
Azure ADO experience is mandatory.
Strong understanding of program management concepts and methodologies.
Good to have a strong understanding of financial analytics.
Strong skills in executing projects using Agile methodology.

💡 Responsibilities

Manage the development and implementation of products and services.
Act as project manager from initiation through delivery, including planning and directing schedules.
Use agile methodologies and tools to create a product roadmap and manage the product backlog.
Oversee limited to moderate-scope projects, ensuring coordination of deliverables and assets.
Guide a diverse project team across application engineering, cloud, BI, and data engineering.

LeadershipProject ManagementAgilePeople ManagementAzureData engineeringOrganizational skills

Posted 4 months ago

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