Silvermine Group - Director - Business Intelligence & Analytics (12-17 yrs)

Silvermine Group is a decade-old SaaS Company that's building e-commerce SaaS companies in the cloud for the US market and helping companies bring offline processes online, saving time and money. We bring modern Internet software to main streets across America. Since our founding over a decade ago in Wilton, Connecticut, we have empowered our employees to make decisions that serve our customers interests first.

Silvermine group has two software product offerings eform2290

Company URL: https://www.silverminegroup.com/

Job Summary:

The Director of Business Intelligence (BI) and Analytics will lead the development and execution of the organizations BI strategy with a focus on modernization, automation, and long-term innovation. This leader will be responsible for transforming the analytics function, building scalable, high-performance data pipelines, and setting a future vision that integrates AI and machine learning (ML) into business processes.

The successful candidate will work at both the strategic and tactical levels, from defining long-term analytics and AI strategies to hands-on evaluation of current architectures, processes, and reporting pipelines. They will act as a thought leader in business analytics, data-driven decision-making, and will ensure data quality, accessibility, and efficiency to enable high-impact business insights across the company.

Key Responsibilities:

Strategic Leadership:

- Define and drive the long-term strategy for the company's BI and analytics function, with a roadmap for existing platform and new platforms.

- Develop a future vision for data analytics and reporting capabilities, ensuring alignment with business goals, trends, and technological advancements.

- Lead a team & build the ability to present data in a simple & concise manner. Drive actionable insights using different sources viz GA, GTM, internal database, Google ads, Bing ads, HubSpot, Mailchimp, GSC etc. in a comprehensive & cohesive manner.

- Partner with key stakeholders, including executives, to translate business needs into analytical solutions and data strategies.

- Promote a data-driven culture, advocating for the strategic use of data insights to drive decision-making across the organization.

- Use of the AI/ML models & close interaction with the data engineering team on how we use the evolving technologies to improve our data gathering, synthesis & analysis.

Tactical Execution:

- Evaluate and assess the current analytics landscape (data infrastructure, pipelines, reporting systems, tools, and processes) to identify gaps, inefficiencies, and opportunities for improvement.

- Lead the modernization of BI platforms, including transitioning from legacy systems to scalable, cloud-based solutions that improve data accessibility and performance.

- Optimize and automate reporting pipelines, leveraging modern tools and techniques to enable real-time data insights and reduce manual interventions.

- Ensure that data governance frameworks are robust, ensuring data quality, security, and compliance with relevant regulations.

- Create data attribution models best suited for the business, drive on collection of various data points from different sources and help in building analysis on the data.

- Automation of the existing data infrastructure to eliminate or minimize human interactions.

Team Management & Development:

- Lead, mentor, and develop a high-performing team of BI professionals, data engineers, and analysts.

- Foster a collaborative and innovative environment that encourages continuous learning, growth, and experimentation with new tools and technologies.

- Manage relationships with third-party vendors, cross functional teams and technology partners, ensuring tools and platforms meet the companys evolving BI and analytics needs.

Performance & KPIs:

- Track and report on the success of BI and analytics initiatives, developing KPIs to measure impact and continuously refine strategies for improved product performance and customer experiences

- Monitor and ensure data quality, consistency, and timeliness, ensuring that the analytics infrastructure supports the business in making fast, reliable decisions.

- Developing business level KPIs and departmental level KPIs is important for monitoring the current & future product performance. Creation of user journeys, funnels, segmentation of users.

- Ability to define the thresholds and acceptance criteria for each KPIs and compare the results.

- Conduct A/B or multivariant testing and result analysis of the test conducted to help us optimize the outcome.

Key Qualifications:

- Bachelors degree in Engineering or Computer science, Masters in Data analytics or MBA preferred.

- 12+ years of experience in business intelligence, data analytics, or related roles, with at least 5 years in a senior leadership capacity.

- Proven track record in defining and executing data and analytics strategies that align with overall business objectives.

- Extensive experience in synthesizing large data sets from various sources, combining and synthesizing them to drive analytical outcomes.

- Extensive experience in BI tools and platforms (e.g., Power BI, Tableau, Looker, Qlik) and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).

- Strong technical background with expertise in ETL processes, data pipelines, and modern cloud-based architectures.

- Familiarity with SQL, Python, R, and other relevant languages or tools for data manipulation and analysis.

- Excellent communication skills, with the ability to translate complex data insights into clear and actionable recommendations for non-technical stakeholders.

- Strong leadership, stakeholder management and team management skills, with a proven ability to mentor, motivate, and inspire a diverse team.

Preferred Qualifications:

- Experience working in agile environments.

- Preferable prior experience in Ecommerce industry or SaaS platforms.

- Prior experience in driving digital transformation initiatives in large organizations.

Key Competencies:

- Strategic thinker with the ability to balance big-picture vision with tactical execution.

- Innovative mindset, continually seeking new ways to optimize processes and apply cutting-edge technologies.

- Data-driven decision-making, able to leverage data to solve business problems and identify new opportunities.

- Cross-functional collaboration, adept at working with different teams across the organization.

- Proactive problem-solver with the ability to manage multiple projects and competing priorities.