Role Overview:
The SEO Analyst is responsible for optimizing the organization’s online presence by improving search engine rankings, driving organic traffic, and enhancing user engagement. This role requires expertise in SEO strategies, analytics, and a strong understanding of mental health-related content to ensure alignment with the organization’s mission.
Key Responsibilities:
- SEO Strategy Development and Execution:
- Develop and implement effective SEO strategies to improve website rankings and increase organic traffic.
- Conduct keyword research to identify high-value terms relevant to mental health services and integrate them into the content strategy.
- Content Optimization:
- Collaborate with content teams to optimize on-page elements, including meta tags, headers, and keywords.
- Ensure that content adheres to SEO best practices while maintaining accuracy and sensitivity in mental health-related topics.
- Performance Monitoring and Reporting:
- Monitor website performance using tools such as Google Analytics, Google Search Console, and other SEO software.
- Analyze data to evaluate the effectiveness of SEO efforts and provide regular reports to the marketing team.
- Technical SEO Management:
- Conduct technical audits to identify and resolve issues affecting website performance, such as page speed, mobile usability, and broken links.
- Ensure the website is optimized for search engine crawlers and adheres to the latest algorithm updates.
- Competitor and Market Analysis:
- Conduct competitive analysis to identify trends, opportunities, and gaps in the market.
- Research emerging SEO techniques and tools to maintain a competitive edge in the mental health sector.
- Local SEO:
- Develop and manage local SEO strategies to enhance visibility in specific geographic areas.
- Optimize Google My Business profiles and manage location-based search strategies.
- Collaboration and Training:
- Work closely with content creators, developers, and social media teams to align SEO initiatives with broader marketing goals.
- Provide training and guidance to team members on SEO best practices.
Qualifications and Requirements:
Education:
- Bachelor’s degree in Marketing, Computer Science, or a related field.
Experience:
- 2–5 years of experience as an SEO Analyst or in a similar role.
- Proven experience in optimizing content for the mental health or healthcare sector is mandatory.
Skills and Knowledge:
- Proficiency in SEO tools such as Google Analytics, Google Search Console, SEMrush, and Ahrefs.
- Strong understanding of technical SEO, keyword research, and link-building strategies.
- Familiarity with content management systems (e.g., WordPress).
- Knowledge of HTML, CSS, and basic coding practices is a plus.
- Excellent analytical and problem-solving skills.
Personal Attributes:
- Strong attention to detail with the ability to manage multiple projects simultaneously.
- Excellent communication and collaboration skills.
- Sensitivity and awareness when working with mental health-related content.
Key Competencies:
- Expertise in SEO strategies and best practices.
- Data-driven decision-making and performance analysis.
- Ability to adapt strategies to the unique needs of mental health-related audiences.
- Strong alignment with the organization’s mission to promote mental health awareness.
Shubham Vishwakarma
Full Stack Developer - Averlon
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upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.
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* Intriguing us with new ideas, thoughts, or observations
- Intriguing us with new ideas, thoughts, or observations
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* Full time-based in Mumbai/Bangalore, we like to work collaboratively
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Freedom to execute with an opportunity to build a new product
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- Apply sampling techniques to effectively determine and define ideal categories to be questioned
- Compare and analyze provided statistical information to identify patterns, relationships and problems
- Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering
- Prepare detailed reports for management and other departments by analyzing and interpreting data
- Train assistants and other members of the team how to properly organize findings and read data collected
- Design computer code using various languages to improve and update software and applications
- Refer to previous instances and findings to determine the ideal method for gathering data
This leads to a very interesting and challenging use case in the emerging field of large scale distributed HTAP, which is still not mature enough to provide a solution out of the box that works for our scale and SLAs. So, we are building a solution that can handle the complexity of our use case and scale to several trillions of rows. As a "Database Engineer", you will evolve, architect, build and scale the core data warehouse that sits at the heart of Clarisights enabling large scale distributed, interactive analytics on near realtime data.
What you'll do
- Understanding and gaining expertise in existing data warehouse.
- Use the above knowledge to identify gaps in the current system and formulate strategies around what can be done to fill them
- Avail KPIs around the data warehouse.
- Find solutions to evolve and scale the data warehouse. This will involve a lot of technical research, benchmarking and testing of existing and candidate replacement systems.
- Bulid from scratch all or parts of the data warehouse to improve the KPIs.
- Ensure the SLAs and SLOs of data warehouse, which will require assuming ownership and being oncall for the same.
- Gain deep understanding into Linux and understand concepts that drive performance characteristics like IO scheduling, paging, processing scheduling, CPU instruction pipelining etc.
- Adopt/build tooling and tune the systems to extract maximum performance out of the underlying hardware.
- Build wrappers/microservices for improving visibility, control, adoption and ease of use for the data warehouse.
- Build tooling and automation for monitoring, debugging and deployment of the warehouse.
- Contribute to open source database technologies that are used at or are potential candidates for use.
What you bring
We are looking for engineers with a strong passion for solving challenging engineering problems and a burning desire to learn and grow in a fast growing startup. This is not an easy gig, it will require strong technical chops and an insatiable curiosity to make things better. We need passionate and mature engineers who can do wonders with some mentoring and don't need to be managed.
- Distributed systems: You have a good understanding of general patterns of scaling and fault-tolerance in large scale distributed systems.
- Databases: You have a good understanding of database concepts like query optimization, indexing, transactions, sharding, replication etc.
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- Engineer at heart: You thrive on writing great code and have a strong appreciation for modular, testable and maintainable code, and make sure to document it. You have the ability to take new initiatives and questioning status quo.
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- Open Source Contribution: Bonus.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon