Senior Consultant- Data Analytics at Innovid

Philippines

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Consulting, Digital TransformationIndustries

Requirements

Expert knowledge in best practices for the design and build of data models and data pipelines
Specialization and expert knowledge in data science, automation, analytical methodologies, project delivery, and sales
Proficiency in designing and implementing data lake and data warehouse architectures using Azure Data Lake Storage Gen2, Synapse Analytics, or SQL Database
Expertise in creating and maintaining star/snowflake schemas, partitioning strategies, and metadata models
Experience developing data ingestion and transformation pipelines using Azure Data Factory, Azure Synapse Pipelines, or Databricks
Skills in building and maintaining ETL/ELT pipelines for structured and unstructured data using Azure Data Factory, Databricks, or Synapse Mapping Data Flows
Strong DAX and Power Query skills for Power BI semantic models
Experience designing, developing, optimizing, and deploying Power BI reports, dashboards, row-level security, and integration with Azure datasets in Power BI Service
Ability to tune and optimize SQL queries, pipeline performance, and implement cost-efficient data strategies
Knowledge of DevOps and CI/CD pipelines using Azure DevOps, including ARM templates, Bicep, or Terraform for infrastructure provisioning
Technical leadership and mentoring capabilities

Responsibilities

Identify business problems, articulate objectives and success measures, and translate requirements into current/future state solutions and analytical tools that demonstrate realizable benefits
Elicit requirements, design, build, and deploy advanced models and analytical solutions
Define the architectural approach and vision for all technical components of the solution and lead technical teams
Develop practices and routines to support data science and automation of analytical assets into business processes
Define approaches and methodologies in support of project delivery and sales
Ensure the quality and delivery of technical deliverables and lead overall projects or critical work streams
Create an exceptional client experience by understanding expectations, seeking feedback, and engaging around value delivered
Design and implement efficient data lake and data warehouse architectures using Azure Data Lake Storage Gen2, Synapse Analytics, or SQL Database
Create and maintain star/snowflake schemas, partitioning strategies, and metadata models
Develop robust data ingestion and transformation pipelines using Azure Data Factory, Azure Synapse Pipelines, or Databricks
Build and maintain ETL/ELT pipelines for structured and unstructured data using Azure Data Factory, Databricks, or Synapse Mapping Data Flows
Design and develop interactive and scalable Power BI reports and dashboards
Build semantic models using Power BI Desktop with strong DAX and Power Query skills
Optimize dataset performance and implement row-level security where needed
Publish, schedule, and monitor datasets in Power BI Service, integrating with Azure datasets where applicable
Tune and optimize SQL queries and pipeline performance
Implement cost-efficient strategies for data movement and storage
Implement CI/CD pipelines using Azure DevOps for data deployments
Manage ARM templates, Bicep, or Terraform for infrastructure provisioning
Provide mentoring and technical leadership

Skills

Key technologies and capabilities for this role

Data AnalyticsSolution ArchitectureData ModelingAnalytical SolutionsBusiness RequirementsTechnical LeadershipIntelligent AutomationSalesforceAnaplanAI

Questions & Answers

Common questions about this position

What is the salary for the Senior Consultant - Data Analytics role?

This information is not specified in the job description.

Is this Senior Data Consultant position remote or office-based?

This information is not specified in the job description.

What key skills are required for the Senior Data Consultant role?

Key skills include expertise in data modeling and architecture using Azure Data Lake Storage Gen2, Synapse Analytics, or SQL Database, designing star/snowflake schemas and partitioning strategies, and developing scalable data pipelines for ingestion and transformation.

What is the company culture like at Innovior?

Innovior has a passionate, client-centric team of 120 professionals across Sydney, Melbourne, India, and the Philippines, focused on digital transformation with expertise in areas like Data & AI, emphasizing innovative technologies and tailored solutions to drive client success.

What makes a strong candidate for the Senior Data Consultant position?

Strong candidates demonstrate expert knowledge in data modeling, pipelines, and Azure technologies, with leadership in technical teams, project delivery, and creating exceptional client experiences through understanding expectations and delivering value.

Innovid

Digital advertising solutions for video campaigns

About Innovid

Innovid specializes in digital advertising solutions with a focus on video campaigns. The company provides an omni-channel platform that integrates creative development, ad serving, and analytics, allowing clients to create personalized ads tailored to individual preferences. Innovid's platform supports various advertising channels, including TV, video, display, social media, and out-of-home advertising. Unlike many competitors, Innovid offers a user-friendly interface that simplifies the management of advertising efforts and provides transparent insights accredited by the Media Rating Council. The company's goal is to enhance advertising strategies for marketers, advertisers, and publishers by delivering effective, personalized ad campaigns.

New York City, New YorkHeadquarters

2007Year Founded

$260.3MTotal Funding

IPOCompany Stage

Data & Analytics, Consumer SoftwareIndustries

501-1,000Employees

Senior Consultant- Data Analytics at Innovid

Requirements

Responsibilities

Skills

Questions & Answers

Innovid

About Innovid

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Paid Vacation

Paid Sick Leave

401(k) Retirement Plan

401(k) Company Match

Parental Leave

Company Equity

Stock Options

Flexible Work Hours

Hybrid Work Options

Risks

Merger with Flashtalking may disrupt Innovid's operations and client services.

Mediaocean acquisition could shift Innovid's strategic direction unfavorably.

Dependency on IRIS.TV data poses risks if data sharing policies change.

Differentiation

Innovid offers an independent omni-channel platform for personalized ad experiences.

The platform integrates creative development, ad serving, and analytics seamlessly.

Innovid provides transparent, accredited insights free from media bias.

Upsides

Rising demand for personalized video ads boosts Innovid's market potential.

CTV ad spend growth offers significant opportunities for Innovid's platform.

AI integration enhances ad delivery and consumer behavior analysis.

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