Sr. Marketing Manager

Key Responsibilities:

Design, develop, and maintain interactive dashboards and reports using Power BI and Looker.

Write and optimize DAX queries to support complex business logic and calculations.

Collaborate with data engineers, analysts, and business stakeholders to understand reporting needs and translate them into technical solutions.

Ensure data accuracy, consistency, and performance across BI solutions.

Perform data analysis and validation to support business initiatives.

Automate and streamline reporting processes for efficiency and scalability.

Stay updated with the latest BI tools, trends, and best practices.

Required Skills & Qualifications:

Minimum 5 years of experience in BI development and data analytics.

Strong proficiency in Power BI, including DAX and Power Query.

Hands-on experience with Looker and LookML.

Solid understanding of data modeling, ETL processes, and SQL.

Ability to work with large datasets and optimize performance.

Excellent problem-solving and communication skills.

Bachelordegree in Computer Science, Information Systems, or a related field.

• Good design skills and exposure to multiple software architectures.
• Strong understanding of OO/ knowledge of frameworks such as Spring/ Spring Boot/ design and good software development practices.
• Strong core server-side technologies experience (Java). 
• Knowledge of Android is a huge plus.
• Strong database skills including schema design.
• Strong knowhow of data-structures and algorithms.
• Experience with configuration management, testing, deployment.
• Hands on development across technologies.

Wednesday Solutions is seeking a skilled and self-driven B2B Copywriter to join our dynamic team. This role is ideal for someone who thrives on converting ideas into impactful content that educates, engages, and drives results. You'll work closely with key personnel to capture the essence of what we do transform it into high-quality marketing assets.

Key Responsibilities:

• Content CreationWrite e-books that showcase expertise and thought leadership in our domain.
• Develop Email Education Courses (EEC) to nurture leads and provide actionable insights.
• Produce a weekly newsletter that informs, educates, and connects with our audience.
• Write social media posts that drive traffic and amplify engagement.
• Write compelling scripts for videos that captivate viewers and drive traffic.
• Workshops and CollaborationConduct workshops with key personnel to extract insights and data.
• Identify the tone of the brand voice to maintain consistency across all content.
• Translate discussions and ideas into polished content artifacts.
• Strategic ExecutionTake ownership of content projects from ideation to delivery, ensuring timely and high-quality outputs.
• Collaborate with cross-functional teams to align content with marketing objectives.
• Continuously refine content strategies to improve engagement and outcomes.

Outcomes Expected:

High-Quality Deliverables:

• Publish e-books.
• Launch Email Education Courses that educate and nurture the audience effectively.
• Distribute an engaging and informative weekly newsletter.
• Develop social media content that drives measurable traffic to key platforms.
• Craft impactful video scripts to boost engagement and brand awareness.

Effective Collaboration:

• Successfully conduct workshops to gather meaningful insights and align with stakeholders.
• Clearly define and adhere to the brand’s tone of voice in all outputs.

Autonomy and Accountability:

• Work independently, with minimal handholding, and deliver content that meets or exceeds expectations.
• Take ownership of deadlines and quality, demonstrating a strong sense of accountability.

Required Skills and Experience

• Proven Writing Expertise: Demonstrated ability to craft engaging and impactful B2B content across formats.
• Workshop Facilitation: Experience conducting interviews, workshops, or collaborative sessions with stakeholders.
• Self-Driven: Highly motivated, able to manage multiple projects with minimal supervision.
• Strategic Thinking: Ability to align content creation with broader marketing goals.
• Attention to Detail: A meticulous approach to maintaining consistency and quality across all deliverables.
• Digital Savvy: Understanding of content distribution strategies for email, social media, and digital platforms.

Lead Generation Specialist

Summary:

As a Lead Generation Specialist at [Company Name], you will play a crucial role in the growth and success of our business. You will be responsible for identifying and cultivating potential leads, nurturing relationships, and converting prospects into qualified sales opportunities.

Key Responsibilities:

Lead Identification:

• Research and identify potential leads through various channels, including online research, social media, industry-specific databases, and inbound inquiries.
• Utilize tools and software to gather and organize lead data effectively.
• Develop a deep understanding of our target audience and market segments.

Lead Nurturing:

• Initiate contact with leads through email, phone calls, and other communication methods.
• Engage with leads to understand their needs and challenges.
• Provide relevant information and resources to educate and nurture leads through the sales funnel.

Data Management:

• Maintain accurate and up-to-date records of lead interactions and status in CRM software.
• Segment and categorize leads for personalized outreach.
• Monitor lead data for quality and completeness.

Lead Qualification:

• Assess and qualify leads based on predefined criteria.
• Collaborate with the sales team to ensure seamless handover of qualified leads.
• Schedule appointments and product demonstrations for qualified prospects.

Reporting and Analysis:

• Generate regular reports on lead generation activities, including conversion rates, pipeline growth, and lead sources.
• Analyze data to identify trends and opportunities for optimization.

Qualifications:

·        Bachelor's degree in Marketing, Business, or a related field.

·        Proven experience in lead generation, preferably in a B2B or technology-related industry.

·        Familiarity with lead generation tools and software, such as CRM systems and marketing automation platforms.

·        Strong communication and interpersonal skills.

·        Self-motivated with the ability to work independently and as part of a team.

·        Excellent organizational and time management skills.

·        Data-driven mindset with a focus on achieving targets and KPIs.

• Design and implement software of embedded devices and systems from requirements to production and commercial deployment
• Design, develop, code, test and debug system software
• Review code and design
• Analyze and enhance efficiency, stability and scalability of system resources
• Integrate and validate new product designs
• Support software QA and optimize I/O performance

Job Title: Data Engineer

Job Summary: As a Data Engineer, you will be responsible for designing, building, and maintaining the infrastructure and tools necessary for data collection, storage, processing, and analysis. You will work closely with data scientists and analysts to ensure that data is available, accessible, and in a format that can be easily consumed for business insights.

Responsibilities:

• Design, build, and maintain data pipelines to collect, store, and process data from various sources.
• Create and manage data warehousing and data lake solutions.
• Develop and maintain data processing and data integration tools.
• Collaborate with data scientists and analysts to design and implement data models and algorithms for data analysis.
• Optimize and scale existing data infrastructure to ensure it meets the needs of the business.
• Ensure data quality and integrity across all data sources.
• Develop and implement best practices for data governance, security, and privacy.
• Monitor data pipeline performance / Errors and troubleshoot issues as needed.
• Stay up-to-date with emerging data technologies and best practices.

Requirements:

Bachelor's degree in Computer Science, Information Systems, or a related field.

Experience with ETL tools like Matillion,SSIS,Informatica

Experience with SQL and relational databases such as SQL server, MySQL, PostgreSQL, or Oracle.

Experience in writing complex SQL queries

Strong programming skills in languages such as Python, Java, or Scala.

Experience with data modeling, data warehousing, and data integration.

Strong problem-solving skills and ability to work independently.

Excellent communication and collaboration skills.

Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

Familiarity with data warehouse/Data lake technologies like Snowflake or Databricks

Familiarity with cloud computing platforms such as AWS, Azure, or GCP.

Familiarity with Reporting tools

Teamwork/ growth contribution

• Helping the team in taking the Interviews and identifying right candidates
• Adhering to timelines
• Intime status communication and upfront communication of any risks
• Tech, train, share knowledge with peers.
• Good Communication skills
• Proven abilities to take initiative and be innovative
• Analytical mind with a problem-solving aptitude

Good to have :

Master's degree in Computer Science, Information Systems, or a related field.

Experience with NoSQL databases such as MongoDB or Cassandra.

Familiarity with data visualization and business intelligence tools such as Tableau or Power BI.

Knowledge of machine learning and statistical modeling techniques.

If you are passionate about data and want to work with a dynamic team of data scientists and analysts, we encourage you to apply for this position.

• Conducting keyword research using dedicated software, and generating new keyword ideas.
• Analyzing website and social media pages, then making recommendations for improvement.
• Monitoring website traffic, search results, and developing strategies.
• Generating content ideas and delegating these to the team.
• Overseeing content creation and offering suggestions.
• Updating outdated content.
• Optimizing pages for desktop, tablet, and mobile use.
• Developing link-building strategies.
• Managing paid search campaigns.
• Keeping up to date with new trends and best SEO practices.

• BSc in marketing or similar.
• HTML and JavaScript experience.
• Previous experience in a similar role would be advantageous.
• Excellent written, verbal, and analytical skills.
• Experience with Google Analytics.
• Great customer service and interpersonal skills.
• Ability to follow specifications.
• Ability to work under pressure.

Role: Data Analytics Lead / Manager

1. Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
2. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
3. Coordinate with different teams to determine requirements for data warehousing, reporting and analytical solutions, and ensure customer satisfaction on deliverables
4. Oversee analytics projects to extract, manage, and analyse data from multiple applications, ensuring that deadlines are met.
5. Apply statistics and data modelling to gain actionable business insights and boost customer productivity and revenue.
6. Enforce company policies and procedures to ensure quality and prevent discrepancies.
7. Communicate and track key performance metrics across departments.
8. Keep abreast of industry best practices and policies.
9. Research Latest trends, analyse data, identify opportunities and incorporate changes into business strategies.
10. Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.
11. Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
12. Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
13. Develop and implement MLDevOps, quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
14. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
15. Organize and drive successful completion of data insight initiatives through effective management of data analyst and effective collaboration with stakeholders.

Essential Skills

1. Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
2. Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
3. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
4. Experience and knowledge of statistical modelling techniques: multiple regression, logistic regression, log-linear regression, variable selection, etc.

 We’re looking for someone with at least 10+ years of experience in a position monitoring, managing, transforming and drawing insights from data, and someone with at least 5 years of experience leading a data analyst team.

Experience in Azure is preferred